KNOWLEDGE BASED MANAGEMENT OF SOFTWARE OBJECTS

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知识管理(Knowledge-Management-KM)

知识管理(Knowledge-Management-KM)

知识管理(Knowledge Management,KM)2008-06-062人分享此文知识管理的定义知识管理(KM, Knowledge Management)是网络新经济时代的新兴管理思潮与方法,管理学者彼得·杜拉克早在一九六五年即预言:“知识将取代土地、劳动、资本与机器设备,成为最重要的生产因素。

”受到1990年代的资讯化蓬勃发展,知识管理的观念结合网际网络建构入口网站、资料库以及应用电脑软件系统等工具,成为企业累积知识财富,创造更多竞争力的新世纪利器。

所谓知识管理的定义为,在组织中建构一个量化与质化的知识系统,让组织中的资讯与知识,透过获得、创造、分享、整合、记录、存取、更新、创新等过程,不断的回馈到知识系统内,形成永不间断的累积个人与组织的知识成为组织智慧的循环,在企业组织中成为管理与应用的智慧资本,有助于企业做出正确的决策,以因应市场的变迁.25种全球最流行的管理工具:目录1 客户关系管理(Customer Relationship Management,CRM)2 全面质量管理(Total Quality Management,TQM)3 顾客细分(Customer Segmentation)4 外包(Outsourcing)5 核心能力6 供应链管理(Supply Chain Management ,SCM)7 战略规划(Strategic Planning)8 业务流程再造(Business Process Reengineering,BPR)9 知识管理( Knowledge Management,KM)10 使命书和愿景书11 平衡记分卡(The Blanced ScoreCard,BSC)12 作业导向管理13 忠诚度管理14 六西格玛(6σ)15 战略联盟(Strategic Alliance)16 基准管理(benchmarking)17 变革管理计划(Change Management)18 增长战略(Growth Strategies)19 经济附加值增值分析(Economic Value Added,EVA)20 价格优化模型(Price Optimization Models)21 开放市场创新22 规模定制(Mass Customiza.tion,MC)23 情景设定和突发计划(Scenario Planning)24 海外经营25 射频识别(Radio Frequency Identification,RFID)知识管理的重要性21世纪企业的成功越来越依赖于企业所拥有知识的质量,利用企业所拥有的知识为企业创造竞争优势和持续竞争优势对企业来说始终是一个挑战。

新中大Gfi集团财务管理软件产品宣传手册

新中大Gfi集团财务管理软件产品宣传手册

新中大Gfi集团财务管理软件产品宣传手册目录Gfi宣传手册 (1)目录 (1)公司简介 (1)集团财务管理软件总体概况 (3)集团财务管理软件结构图 (7)模块及功能简介 (8)1. 总账系统 (8)2. 现金中心 (9)3. 客户中心 (9)4. 供应商中心 (10)5. 合同管理 (10)6. 固定资产管理 (11)7. 低值易耗品管理 (11)8. 综合资产管理 (11)9. 报表中心 (12)10. 成本管理 (13)11. 全面预算 (13)12. 集团管理 (14)13. 经营分析 (14)14. 经理查询 (14)15. 结算中心 (15)16. 权限中心 (15)17. 基础数据 (15)总账系统 (16)系统概述 (16)系统功能简介 (17)1.基础设置 (17)2.凭证 (19)3.期末处理 (19)4.账簿 (19)5.预算管理 (21)6.数据中心 (21)7.会计信息翻译 (22)现金中心 (22)客户中心 (27)供应商中心 (31)合同管理 (35)固定资产管理 (36)低值易耗品管理 (41)综合资产管理 (44)报表中心 (45)成本管理 (48)全面预算 (51)集团管理 (56)经营分析 (57)经理查询 (60)结算中心 (63)权限中心 (65)基础数据 (68)公司简介Company Profile新中大软件股份有限公司是大型的面向中高端市场的先进管理软件开发商及电子商务时代解决方案供应商,是中国软件产业的杰出代表和领导厂商,是精细化管理倡导者和URP 思想的原创者,致力于帮助盟主企业成就电子商务先锋。

NEWGRAND Software Co., Ltd. (Hereinafter referred to as NEWGRAND) is a large-sized advanced management software developer facing medium and high-end markets, an e-commerce solution provider, an outstanding representative and a leading manufacturer in the Chinese software industry, and the advocate of refinement management and initiator of URP theory. The company is committed to help leading businesses to be e-commerce pioneers.先进管理:新中大公司是精细化管理倡导者和URP思想的原创者,在企业管理(URP)、工程项目管理、公共财政管理等领域居于市场领导者地位。

软件工程英文参考文献(优秀范文105个)

软件工程英文参考文献(优秀范文105个)

软件工程英文参考文献(优秀范文105个)软件工程英文参考文献一:[1]Carine Khalil,Sabine Khalil. Exploring knowledge management in agile software developmentorganizations[J]. International Entrepreneurship and Management Journal,2020,16(4).[2]Kevin A. Gary,Ruben Acuna,Alexandra Mehlhase,Robert Heinrichs,Sohum Sohoni. SCALING TO MEET THE ONLINE DEMAND IN SOFTWARE ENGINEERING[J]. International Journal on Innovations in Online Education,2020,4(1).[3]Hosseini Hadi,Zirakjou Abbas,GoodarziVahabodin,Mousavi Seyyed Mohammad,Khonakdar Hossein Ali,Zamanlui Soheila. Lightweight aerogels based on bacterial cellulose/silver nanoparticles/polyaniline with tuning morphology of polyaniline and application in soft tissue engineering.[J]. International journal of biological macromolecules,2020,152.[4]Dylan G. Kelly,Patrick Seeling. Introducing underrepresented high school students to software engineering: Using the micro:bit microcontroller to program connected autonomous cars[J]. 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Improving the quality and quantity of functional and non-functional requirements obtained during requirements elicitation stage for the development of e-merce mobile applications: an alternative reference process model[J]. IETSoftware,2020,14(2).[62]. Guest Editorial: Software Engineering Applications to Solve Organisations Issues[J]. IET Software,2020,14(2).[63]?,?. Engine ControlUnit ? ? ?[J]. ,2020,47(4).[64]. Engineering - Software Engineering; Study Data from Nanjing University Update Understanding of Software Engineering (Identifying Failure-causing Schemas In the Presence of Multiple Faults)[J]. Mathematics Week,2020.[65]. Energy - Renewable Energy; Researchers from Institute of Electrical Engineering Detail New Studies and Findings in the Area of Renewable Energy (A Local Control Strategy for Distributed Energy Fluctuation Suppression Based on Soft Open Point)[J]. Journal of Mathematics,2020.[66]Ahmed Zeraoui,Mahfoud Benzerzour,WalidMaherzi,Raid Mansi,Nor-Edine Abriak. New software for the optimization of the formulation and the treatment of dredged sediments for utilization in civil engineering[J]. Journal of Soils andSediments,2020(prepublish).[67]. Engineering - Concurrent Engineering; Reports from Delhi Technological University Add New Data to Findings in Concurrent Engineering (Systematic literature review of sentiment analysis on Twitter using soft puting techniques)[J]. Journal of Engineering,2020.[68]. Engineering; New Findings from Future University in Egypt in the Area of Engineering Reported (Decision support system for optimum soft clay improvement technique for highway construction projects)[J]. Journal of Engineering,2020.[69]Erica Mour?o,Jo?o Felipe Pimentel,LeonardoMurta,Marcos Kalinowski,Emilia Mendes,Claes Wohlin. On the performance of hybrid search strategies for systematic literature reviews in softwareengineering[J]. Information and SoftwareTechnology,2020,123.[70]. Soft Computing; Researchers from Anna University Discuss Findings in Soft Computing (A novel fuzzy mechanism for risk assessment in software projects)[J]. News of Science,2020.软件工程英文参考文献三:[71]. Software and Systems Research; New Software and Systems Research Study Results from ChalmersUniversity of Technology Described (Why and How To Balance Alignment and Diversity of Requirements Engineering Practices In Automotive)[J]. Journal of Transportation,2020.[72]Anupama Kaushik,Devendra Kr. Tayal,Kalpana Yadav.A Comparative Analysis on Effort Estimation for Agile and Non-agile Software Projects Using DBN-ALO[J]. Arabian Journal for Science and Engineering,2020,45(6).[73]Subhrata Das,Adarsh Anand,Mohini Agarwal,Mangey Ram. Release Time Problem Incorporating the Effect of Imperfect Debugging and Fault Generation: An Analysis for Multi-Upgraded Software System[J]. International Journal of Reliability, Quality and Safety Engineering,2020,27(02).[74]Saerom Lee,Hyunmi Baek,Sehwan Oh. The role of openness in open collaboration: A focus onopen‐source software development projects[J]. ETRI Journal,2020,42(2).[75]. Soft Computing; Study Results from Computer Science and Engineering Broaden Understanding of Soft Computing (Efficient attribute selection technique for leukaemia prediction using microarray gene data)[J]. Computer Technology Journal,2020.[76]. Engineering - Computational Engineering; Findings from University of Cincinnati in the Area of Computational Engineering Described (Exploratory Metamorphic Testing for Scientific Software)[J]. Computer Technology Journal,2020.[77]. Organizational and End User Computing; Data from Gyeongnam National University of Science and Technology Advance Knowledge in Organizational and End User Computing (A Contingent Approach to Facilitating Conflict Resolution in Software Development Outsourcing Projects)[J]. Computer Technology Journal,2020.[78]. 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UDC分类号-中英文对照史上最全

UDC分类号-中英文对照史上最全

UDC分类号-中英文对照史上最全UDC大纲中英文对照版英文的在后面本大纲UDC类从多语种国际十进分类汇总(udcc 088号出版物)公布的由UDC联盟知识共享署名3许可下一样(第一版本2009,后续的更新2012)。

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写作。

作者003编写系统和脚本004计算机科学与技术。

计算4.2计算机体系结构4.3计算机硬件4.4软件4.5人机交互4.6数据4.7计算机通信4.8人工智能4.9面向应用的计算机技术005管理5.1管理理论5.2管理代理。

机制。

措施5.3管理活动5.5管理操作。

方向5.6质量管理。

全面质量管理(TQM)5.7组织管理(有机)5.9个管理领域5.92记录管理5.93工厂管理。

物理资源管理5.94知识管理5.95、96人事管理。

人力资源管理006标准化的产品,操作,重量,措施和时间007活动和组织。

信息。

通信与控制理论(控制论)008文明。

文化。

进步01参考书目及书目。

目录02图书馆030一般参考作品(如主题)050系列出版物,期刊(如主题)06个组织的一般性质069博物馆070份报纸(如主题)。

新闻。

新闻概论08 polygraphies。

集体作品(如主题)09手稿。

罕见且非凡的作品(如主题)1哲学。

心理学[编辑]101哲学的性质与作用11形而上学111一般形而上学。

本体论122 / 129特殊的形而上学13精神和精神的哲学。

精神生活的形而上学14哲学体系与观点159.9心理学159.91心理生理学(生理心理学)。

心理生理学159.92心理发展和能力。

比较心理学159.93感觉。

感官知觉159.94执行功能159.95高级心理过程159.96特殊的精神状态和过程159.97变态心理学159.98应用心理学(心理技术)一般16逻辑。

《管理信息系统》教学大纲 英文

《管理信息系统》教学大纲 英文

《管理信息系统》教学大纲课程编号:MIS465课程类型:学科基础课总课时:72 讲课学时:72学分:4学分适用对象:信息管理专业先修课程:MIS241, MIS351,MIS3631.Course Learning OutcomesBy the end of this course, you should be able to:1. Demonstrate an understanding of the issues in systems use ofan Information system (e.g. SAP) to support businessoperations and decision-making.2.Understand the scope of common Enterprise Systems modules (e.g.,SCM, CRM, HRM, procurement).3.Discuss the challenges associated with implementing enterprisesystems and their impacts on organizations4.Develop models for selected business process in enterprisesystems.municate and assess an organization’s readiness forenterprise system implementation with a professional approachin written form, and Describe the selection, acquisition andimplementation of enterprise systems2.Mapping between the course learning and program learningoutcomes5. Teaching hours allocation:(72 Hours)4.Teaching Contents and relationshipto the graduation requirementsThe aims of this course are to gain understanding of variousEnterprise Systems modules and how they are able to be applied ina business context. The course will present the evolution,components and architecture of Enterprise Systems and help you to understand the benefits and drawbacks of implementing such systems and how they can assist organizations to improve their overall efficiency. This course will also help you to refine yourcommunication skills and group work skills, and assist you in the development of your research skills.5.Assessment Methods:6. Course resourcesThe required textbooks for this course are:Management Information Systems (ISBN:978-0-273-78997-0) Kennth udon, Jane uden。

课程名称中英文对照参考表

课程名称中英文对照参考表

外国文学作选读Selected Reading of Foreign Literature现代企业管理概论Introduction to Modern Enterprise Managerment电力电子技术课设计Power Electronics Technology Design计算机动画设计3D Animation Design中国革命史China’s Revolutionary History中国社会主义建设China Socialist Construction集散控制DCS Distributed Control计算机控制实现技术Computer Control Realization Technology计算机网络与通讯Computer Network and CommunicationERP/WEB应用开发Application & Development of ERP/WEB数据仓库与挖掘Data Warehouse and Data Mining物流及供应链管理Substance and Supply Chain Management成功心理与潜能开发Success Psychology & Potential Development信息安全技术Technology of Information Security图像通信Image Communication金属材料及热加工Engineering Materials & Thermo-processing机械原理课程设计Course Design for Principles of Machine机械设计课程设计Course Design for Mechanical Design机电系统课程设计Course Design for Mechanical and Electrical System 创新成果Creative Achievements课外教育Extracurricular education。

Using Agents For Distributed Software Project Management

Using Agents For Distributed Software Project Management

Using Agents for Distributed Software Project Management Rory O’Connor John Jenkins School of Computer Applications School of Computing Science Dublin City University Middlesex University Ireland UK roconnor@compapp.dcu.ieAbstractThe paper explores the role of artificial intelligence techniques in the development of an enhanced software project management tool, which takes account of the emerging requirement for support systems to address the increasing trend towards distributed multi-platform software development projects. In addressing these aims this research devised a novel architecture and framework for use as the basis of an intelligent assistance system for use by software project managers, in the planning and managing of a software project. This paper also describes the construction of a prototype system to implement this architecture and the results of a series of user trials on this prototype system.1. Software Project ManagementThe key issue in project management is decision making. Software project managers make many decisions every day, ranging from the relatively inconsequential to the significant. Ceteris paribus, good outcomes from those decisions are more desirable than bad outcomes. Project managers make decisions based on a combination of judgement and information from staff, clients, research literature and current market forces, as well as knowledge gained from previous projects. Ideally, all relevant information should be brought together before judgement is exercised. The quality of a decision depends on the adequacy of the available information, the quality of the information, the number of options available at the time of the decision and the ability of the people involved to interpret this information.Software-intensive projects often fail because the project managers lack knowledge of good practices and effective processes which can reduce risk and increase the likelihood of success. Managers of projects need to know how to establish a set of processes which are tailored to a project’s requirements in terms of functionality, time, cost, quality and their associated risks.Constructing, maintaining and extending large complex software systems pose many problems of managing all the people, systems and agencies involved. Although many project management systems are currently available, the enormous scope and complexity of current software systems means moving beyond the current state of practice (for example, PERT charts or Microsoft Project). Managing large-scale projects requires facilities for coordinating independent activities and managing the project plans themselves.To support project managers, organisations have sought to develop tools to assist with various aspects of the management of their software processes. Many tools exist in the market today that assist a project manager in addressing some of these objectives. These tools fall into three main categories:• Project planning - tools which are concerned with the scheduling aspects of planning a project, and pay less attention to organisation and methodological aspects of management.• Process management - which support the framework and rules of management of the project’s process.• Risk analysis - tools used at specific stages during a project to assess risk.However, most of these systems fall short of supporting the project manager in their decision making processes and do not offer assistance in representing knowledge about plans and designs, or provide mechanisms for reasoning about plans and designs in flexible ways. Further aspects to supporting the software project manager which are not addressed by today’s support systems are the distributed and cross-platform nature of systems development.This research is motivated by the assertion that users of existing software project management systems could benefit greatly from the inclusion of intelligent assistance techniques in such tools. In addition, such new support systems should provide for the distributed cross-platform nature of modern client-server development.Therefore the objective of this research was to address this shortfall and provide a support tool which will increase the likelihood of success by helping the project manager whohas to make decisions on these issues. Such a tool will encapsulate expert knowledge and make it available to all users. Some of the potential benefits of this approach as applied to the to decision-making process in the domain of software project management are:• Suggestions are made which help the user balance cost, quality and time in making decisions about the use of project resources.• Knowledge is shared about different lifecycle models and why one or another may be most suitable for the users projects.• Measurements are suggested which will enable the user to see how well the project is reaching greater organisational goals and re-plan the ways to reach these goals, if necessary.Even the most experienced project manager may have difficulty knowing the best planning options, even if the critical input parameters of resources, constraints and requirements are known.2. The Role of an Intelligent AssistantThe notion of an intelligent assistant is not new. Indeed, as far back as 399 BC Socrates claimed to have an intelligent assistant, although not in the strictest sense of course. But Socrates did claim to have a non-human companion, which he called a Daemon. Intelligent and always ready to offer good advice, Socrates daemon could be trusted to act without prompting. Real, hard-coded, linguistic and symbolic links abound between Socrates daemon and today’s notion of an intelligent assistant.A software system designed to act as an intelligent team member (or Daemon) could help in the planning and execution of a project. Such an intelligent project assistant could help to preserve knowledge about tasks, to record the reasons for decisions and retrieve information relevant to new problems. They could function as co-workers, assisting and collaborating with the design or operations teams for complex systems. They could also supply institutional memory. They could recall the rationale of previous decisions and, in times of crisis, explain the methods and reasoning previously used to handle that situation.Significant design projects are typically accomplished by teams. An intelligent project assistant could act as design associate [15]. Designs are almost always redesigned; effective redesign requires an understanding of why previous design choices were made and of how these choices achieved or compromised the desired goals; all are vulnerable to loss of important information from changes in design-team membership.In software development projects in particular, an intelligent project assistant can keep track of specifications, design proposals, and implementations for a software project throughout its life cycle. It can record the design decisions of a constantly changing team and also be a repository of solutions and components for new projects. Reasoning techniques can be used to track the (mis)match between specifications and implementations, while analogy techniques can be used to look for existing specifications, components or implementations that match some new requirement.An intelligent project assistant can additionally be of benefit when training new personnel. For many tasks, on-the-job training is extremely effective, providing the trainee with the chance to make real, on-the-spot decisions and see the consequences. On-the-job training is impossible, however, when a bad decision can be disastrous - as in the management of a large complex software development project. Simulations of the project management process, would enable the development of training systems for such situations [5]. These same simulation capabilities are also important when the cost of assembling large groups of people for training is prohibitive.As part of this research a survey of software project management tool users was conducted to obtain an appreciation of the actual state-of-practice by project managers in relation to tool usage, i.e. what do they actually use these tools for and is this consistent with the tool vendors intended usage [13]. In addition, participants were also asked to consider the aspects of intelligent assistance previously discussed and comment on the possible benefits of incorporating this into a project management support system. All of the project managers considered the notion of an intelligent project assistant as a useful addition to the existing range of features in project management tools. In particular, they supported the notion of a tool which could intelligently manage project knowledge, and capture knowledge and lessons learned about projects into a project knowledge base. Apart from the intelligent assistance aspects of this research, the problems associated with organisations having distributed project teams, coupled with multiple hardware platforms was identified by the project managers surveyed, thus highlighting the need tools to operate in a distributed multi-platform environment.3. Implementing Intelligent AssistanceMany solutions have been proposed to the notion of intelligent assistance over the years. These fall under four major categories, Decision Support Systems, Expert Systems, Expert Critiquing Systems and Blackboard systems. In addition, the concept of Intelligent Agents [16] has recently emerged as a potential fifth category. It is proposed that in the complex domain of software project management, a useful tool to support the project manager in the decision making process is likely to be a hybrid of a number of techniques, including DSS, ES, ECS and the blackboard model. It has therefore been proposed to incorporate the information gathering and analysis techniques of DSS, with the ability of ES to propose possible solutions using expert knowledge and best practices and the power of ECS to critique the possible solutions, thus providing the project manager with every facility to make an informed and quality decision [11] [12]. It is considered that an agent based system will provide for an approach which enables the inter-working of a variety of well understood techniques within a single underlying framework - that of agent-orientated system. We therefore propose a system composed of a library of intelligent software agents - where each agent would play the role of a ‘mini-expert system’ or ‘mini-critiquing system’, each with an associated knowledge base. These agents would utilise the blackboard model of problem solving to converge on possible solution states and examine those states to assess their suitability given current conditions. This agent-orientated system would operate within the overall framework of a decision support system, which would provide for the gathering and analysis of data regarding a project and the development of models of the project with the aid and critique of the agents.The major benefits perceived of this approach are facilitating and improving the quality of decision making by a software project manager by reducing information overload and augmenting the cognitive limitations and bounds of the decision maker. This hybrid method of assistance coupled with the architectural properties of intelligent agents (dynamic and distributed objects) present an ideal strategy to implement intelligent assistance systems in the domain of software project management.In addition to the properties outlined above, an agent-orientated architecture is a natural choice to address the issue of heterogeneous client-server systems development. Recent research in Java-based agents [14] [2] and mobile Java-based agents [9] have concluded that they are a viable technology on which to establish a platform independent agent-orientated architecture. To address the distributed client-server issue, research conducted at San Jose State University [10] successfully used CORBA (Common Object Request Broker Architecture) as a basis for developing platform independent client-server systems, including agent-orientated systems. To provide the necessary flexibility for the proposed system and to tackle the issues above, it is considered that both Java and CORBA provide an appropriate framework on which to base our proposed system.Figure 1 Decision Making ParadigmThe decision making paradigm of this agent-orientated approach is illustrated in Figure 1, where two entities, agents and a user, working together to contribute what they know about the domain to solving some problem and hence make a quality informed decision. The users primary role is to generate and modify solutions; the agents is to analyse those solutions and produce a critique and advise on a possible solution for the human to apply in the next iteration of this process. In this scenario agents constantly ‘watch’ the actions of the user by way of monitoring project parameters as the user developing project plans and inputs actual project data. When an agent has all the information it needs, it will proceed with its analysis and produce its conclusions. These conclusions would be given to the user in terms of advice/criticism on the current/predicted future project situation, and also may be used as input data to other agents. For example, there may be a number of agents who specialise in the selection of the most appropriate process model (lifecycle) for a particular project. The agents could have a set of criteria based on certain attributes of the project such as: the problem domain, product, available resources, personnel, and organisational attributes. These attributes would be examined and for each process model a comparative rating produced, indicating the most appropriate choice of process model. The agent would then communicate these findings to the user and other agents.4. System ArchitectureSoftware architecture focuses on three aspects of software design [1];• Partitioning - The functional partitioning of software modules.• Interfaces - The software interfaces between modules.• Connections - The selection and characteristics of the technology used to implement the interface connections between software modules.This ‘partitioning’ approach was taken to the development of a suitable architecture to support the proposed intelligent assistant system. In this sections we will describe the system architecture from a high level and examine some of the modules and their connections.Figure 2 System ArchitectureA high-level (user level) view of the system architecture is illustrated in Figure 2 and consists of the user interface to the system, the decision support system itself and the underlying knowledge base which contains the expertise and knowledge which will be used to assist the project manager in the planning, managing and execution of a software development project.The component modules of the system architecture are illustrated in Figure 3, and are described below:• User Interface - This component handles the management of all the screen elements (menus, dialog boxes, etc.), validates data entered by the user and passes on clear functional messages to the rest of the system.• System Kernel - This is the core component of the system and handles all the processing and storage of user entered data. It manages all aspects of project plans and channels advice from the agents to the user.• Data Manager - This component manages all aspects of the mapping from the logical view of data to its physical storage and maintenance. This module is under the control of the System Kernel and all requests for data must be channelled through the Kernel.• Agent Controller - This module acts as a controller (or supervisor unit) over the agent community and manages the scheduling and execution of agents, as well as governing write access to the Blackboard.• Blackboard - This represents the global problem solving state of the system. Over time, agents produce changes to the Blackboard which lead incrementally to advice on the project under consideration. The Blackboard is under the control of the Agent Controller and all requests for data read / write must be channelled through the Agent Controller.• Agent Library - All agents are contained in an agent library, but remain under the control of the Agent Controller. The purpose of the Agent Library is to manage the physical agents themselves and to service requests for agent interactions from the Agent Controller.Figure 3 Component ArchitectureCORBA [3] was chosen as the interface bus on which to implement message passing between each of the modules in the system architecture. The CORBA bus allows transparent access to distributed objects over aheterogeneous network of machines and operating systems. CORBA distributes messages via its Object Request Broker (ORB) transparently between registered objects. The ORB receives requests from a ‘client’ to send a message to an object. The broker locates the object referred to by the client and delivers the message to that object. This style of architecture combined with the flexibility of CORBA provides a unique solution to the requirements of independence of implementation language, capacity for evolution and interfacing ability.The use of CORBA allows us to maintain the tool kernel on a typical server while porting the GUI to a client machine, with both the agent library and the project database located physically anywhere on the network. With this in mind, possible alternatives would be:• A ‘thin client’ - possibly web based or implemented in Java, which would therefore be platform independent, while still providing a multimedia oriented GUI.• Classical server-side application containing the kernel, agent supervisor and database.• An agent library located anywhere on the LAN or an intranet/internet, which may be implemented in any language and accessed via CORBA.The main advantages of this approach are:• The ‘light-weight’ clients are platform independent, thrifty in resources, and easily upgradable.• The application has a powerful classical kernel, while retaining the advantages of client-server computing.• It provides a facility for the tool to evolve new services, which can be added as new modules.• The use of a CORBA bus provides interfacing capabilities with other (future) CORBA complaint Various research projects have investigated languages for implementing intelligent agents in recent years [16] [17]. In the early stages, agents were local to individual projects and their languages were mostly idiosyncratic. As a result there are a large number of representation languages, each with their own particular characteristics, which do not have inter-agent communication capabilities. An obvious solution is to have a lingua franca, where ideally all agents that implement the same lingua franca would be mutually intelligible [8]. However, the agent community is still a long way from attaining this goal.An example of a popular intelligent agent language is JESS (Java Expert System Shell) [14] which is a clone of the core of the CLIPS (C Language Integrated Production System) [4] expert system shell developed. JESS contains the main features of CLIPS and is downward compatible with CLIPS, in that every valid JESS script is a valid CLIPS script. The primary representation methodology in both CLIPS and JESS is a forward chaining production rule language based on the Rete algorithm.Currently, only a small number of Java based products for the development of expert system tools exist in the market place. For example, [6] [7] reviews five commercially available tools: Advisor/J (Neuron Data Inc.), Ilog Rules for Java (Ilog Inc.), CruXpert (Crux Inc.), Selectica SRx Selection Engines (Selectica Inc.) and JESS (Sandia National Laboratories). The JESS system was chosen as the primary knowledge representation system for a number of reasons, with the primary motivation that (from an architectural perspective) it is based on an open, mature and portable knowledge representation language, i.e. CLIPS.5. Prototype ImplementationThe development platform chosen was a standard Intel Pentium PC running the Windows NT 4 operating system connected via a LAN to several Intel Pentium PC servers and Sun Microsystem servers and workstations running the Solaris operating system. For the development of this system, two main tools were used: a Java compiler - in this case Sun Microsystems JDK - and a Java implementation of a CORBA ORB - in this case Iona’s OrbixWeb.An early prototype of the proposed system was developed for a number of reasons: Firstly as a proof of concept - the prototype assisted in highlighting any flaws in the proposed architecture and investigated the feasibility of the distributed architecture based on CORBA and Java. It also assisted in identifying possible communication, data storage and knowledge representation problems that may occur.The prototype consisted of a number of servers in the agent architecture - Agent Controller, GUI, and the Agents themselves. The advantage here is that each of these servers are asynchronous from each other and from the clients that call them, making them almost completely independent. Thus on the majority of occasions when the client call is made it can continue with its own process, the call is one-way and so does not have to wait for the calls completion.This initial prototype system was successfully developed and deployed in a distributed manner over a number of networked machines. For example, the expert agent server was run on a Windows NT server, with the client (GUI) deployed on Windows 95, with agent communication taking place (via CORBA) over the network using TCP/IP.Following from this initial prototype a series of four further prototype systems were constructed over an extended period of time, with a phased approach to the evolution of system services being adopted. The final prototype consisted of a set of 30 expert advisory agents in the areas of project planning/re-planning, risk management and metrics and a full set of basic services including the ability to produce multiple scenarios based on the ‘current’ status of the project. As the end of each prototype development stage the current system was demonstrated to a representative group of software project managers as outlined in section 6. Currently the prototype system is undergoing a commercialisation phase, with a view to launching a product in the tool market place.6. Trial UsageThere are several reasons for conducting user trials of the prototype system; Firstly it exposes the system to ‘real world’ project managers and obtains feedback from them. In addition it provides a mechanism to elicit opinion from users as to the added value of the system as compared to traditional project management systems. The trials were conducted using twelve project management staff from two organisations. These staff ranged in experience from novice to highly experienced, with the projects under their control ranging from small scale to large, highly complex systems. The actual user trials were conducted in four distinct stages, one for each of the major prototype releases (not including the first prototype, as it was an architectural proof):• Trial 1 - was conducted using the second prototype and had as its purpose the aim of testing the user interface with respect to data capture.• Trial 2 - was conducted using the third prototype and had the dual purpose of the testing of scenarios and generated advice associated with them.• Trial 3 - was mostly concerned with testing the total functionality of the system.• Trial 4 - was conducted using the final prototype. This trial concentrated on advice produced by the agents.The main output of these trials was a set of four review documents - one for each trial - which detailed the comments and opinions of the users involved in each trial. The following are some of the main finding of these user trials:• Operation - The prototype system was successfully operated by a number of users on a variety of machines. This was an indication that the prototype system was capable of being executed in a commercial environment, although the slow speed of executionwas an important issue. However, users acknowledged that the speed issue was not of great importance for a research prototype, but would be for a commercial version.• Decision support - The general feeling of users was that the prototype system demonstrated that the notion of intelligent assistance for software project management was feasible. In addition, they considered that the prototype implementation provided a suitable framework for supporting decision making and had the potential to be of use in a commercial setting.• Project descriptions - The general opinion of users was that the mechanisms of describing projects (via models and scenarios based on a model) was an appropriate and useful device to capture information about a project. In particular the notion of multiple scenarios to examine multiple views (with corresponding advice) of a project was useful.• Advice - Of paramount interest in these trials was user feedback in relation to advice produced by agents. The overall trend was that novice users considered the advice appropriate and useful as either a reminder of a particular aspect of management, or as an indicator of which direction to consider. However, more experienced project managers expressed the desire for more specific and quantitative advice.• Training tool - A suggestion put forward by a number of users was the possibility of a repositioning of the system for use as a training tool, in which users could develop a model of a fictitious project and thus practice project management skills on a ‘virtual project’.The most difficult issue to tackle which arose during the user trials was the request for advice which was more quantitative in nature. This had proved difficult for two reasons; Firstly, little suitable source material was available which contained quantitative data / results that could be used as the basis for agents. Secondly, it is difficult for humans to discern the differences between quantitative values at a fine grain level with domains such as software project management. For example, there is no appreciable difference between the values of 70% and 75% if they were expressed as a measure of suitability for a given lifecycle model. However, it is worth noting that this quantitative issue - while an important issue in its own right - is not a central issue to the proposed architecture of this thesis. It is however an indicator of the nature of advice users perceive to be useful in addition to the advice already produced. The comments received from users were based on a series of research prototypes and indicate the proposal of an intelligent assistant system for software project management is a viable notion.7. ConclusionsThis paper has set forth a proposal for an intelligent assistant system for use by software project managers. Such an intelligent project assistant could help to preserve knowledge about tasks, function as co-workers, assisting and collaborating with the design or operations teams for complex systems.This research reported in this paper has proposed a novel architecture for the development of the above intelligent assistant system. This approach is a fusion of a number of techniques within a multi-agent framework which aims to improve the quality of the decision making process in the less well understood domain of software project management. This framework incorporates the information gathering and analysis techniques of a Decision Support System with the ability of an Expert System to propose possible solutions using expert knowledge and best practices and the power of an Expert Critiquing System to critique the possible solutions, thus providing the project manager with every facility to make an informed and quality decision. This novel approach enables the inter-working of a variety of well understood techniques within a single underlying framework. An important characteristic of this approach is the combination of these techniques in an open distributed environment with the potential for continuous evolution.To assist with validating the proposed architecture, a prototype system was developed as part of this research and a series of trials conducted in a commercial environment using software project managers. The conclusion of these trials was that the prototype system demonstrated that the notion of an intelligent assistant system for software project management was a viable commercial concept. Further, the prototype system demonstrated that the proposed architecture provided a suitable framework for supporting decision making and had the potential to be of use in a commercial setting.One of the significant drawbacks in relation to the evaluation of the system described in this paper - or indeed any software engineering tool - is that a comprehensive evaluation study requires an extended period of time with access to a large group of potential users. However, in this is a luxury not afforded to most academic research projects. Notwithstanding the foregoing, it is considered that the research reported in this paper provides a significant step forward in the development of a new generation of intelligent assistant systems for software project management.References[1] W.Brown, R.Malveau, H.McCormick and T.Mowbray,“Anti Patterns - Refactoring Software Architectures and Projects in Crisis”, Wiley, 1999.[2] A.Caglayan and C.Harrison, “Agent Sourcebook”, Wiley, 1997.[3] “CORBA: Architecture and Specification”, Object Management Group, 1996.[4] J.Giarratano and G.Riley, “Expert Systems - Principles and Programming”, PWS Publishing Company, 1994. [5] B.Grosz and R.Davis (Eds.), “A Report to APRA on Twenty-First Century Intelligent Systems”, American Association for Artificial Intelligence, 1994.[6] C.Hall (Ed.), “Intelligent Software Strategies”, Cutter Information Corp., Summer 1997.[7] C.Hall (Ed.), “Intelligent Software Strategies”, Cutter Information Corp., Fall 1997.[8] M.Huhns and M.Sing, “Conversational Agents”, IEEE Internet Computing, Vol. 1, No. 2, 1997.[9] nge and M.Oshima, “Programming Mobile Agents in Java - with the Java Aglet API”, technical Report, IBM Research, Japan, 1997.[10] R.Orfali and D.Harkey, “Client/Server Programming with Java and CORBA”, Wiley, 1997.[11] R.O'Connor, T.Renault, C.Floch, T.Moynihan andbelles, “Prompter - A Decision Support Tool using Distributed Intelligent Agents”, In Proceedings of EXPERSYS-97, 1997.[12] R.O’Connor and T.Renault, “Designing an Internet Enabled Decision Support Tool in the Domain of Software Project Management”, In Proceedings of EIS-99, 1999. [13] R.O’Connor and J.O.Jenkins, “Supporting Effective Software Project Management and Control by the use of Intelligent Knowledge-based Guidance”, In Proceedings of 9th European Software Control and Metrics conference (ESCOM), pp. 143 - 151, Rome, Italy, 1999[14] M.Watson, “Intelligent Java Applications”, Morgan Kaufmann, 1997.[15] D.Weld (Ed.), “The Role of Intelligent Systems in the National Information Infrastructure”, AI Magazine, Fall 1995.[16] M.Wooldridge and N.Jennings, “Intelligent Agents: Theory and Practice”, Knowledge Engineering Review, Vol. 11, No. 2, 1995.[17] M.Wooldridge, J.Muller, M.Tambe (Eds.),“Intelligent Agents II: Agents Theories, Architectures and Languages”, Lecture Notes in Computer Science 1137, Springer Verlag, 1995.。

个人简历范文英语(优秀7篇)

个人简历范文英语(优秀7篇)

个人简历范文英语(优秀7篇)个人简历范文英语篇一After more than three years of solid work practice, I have been able to operate the whole process of foreign tradeHave a good ability to organize text, have a certain degree of English listening, speaking, reading and writing ability, can skillfully operate windows platform on a class of application software (such as Photoshop, wordXX, excelXX), hands-on ability.I have strong sense of responsibility and initiative, good organization and coordination capacity, and all sectors of colleagues, with the successful pletion of tasks. To be honest and be approved by the leadership!Went to Guangzhou, Shanghai and other places to participate in international exhibitions, translation and foreign trade experience and experience overseas exhibitors!I am cheerful, good at munication, modest and confident. Although the new work and environment and previous different, but I believe that we can quickly qualified through their own efforts and existing work based on this I am confident!个人简历范文英语篇二Personal InformationName:Sex: MaleBirthdate: September, 30, 1986Height: 一qi4 cmMarital Status: UnmarriedPhone:***********E-mail:***@Career ObjectiveTo work as a guide with Hangzhou International Travel Service.Work Experience2012-PresentServed as a guide for foreigners at Folk Custom and Culture Village in Shenzhen. Responsible for explaining China's various folk customs and cultures to foreign visitors.2010-2011Acted as a guide for foreigners at Splendid China in Shenzhen. Showed foreign toursits to all the miniature tourist attractions.2008-2009Worked as a guide for Hangzhou International Travel Service. Responsibilities included arranging, coordinating tourist activities, and offering service of transportation, acmodations, sightseeing, shopping and entertainment.Educational Background2004-2008Majored in Tourism at Beijing Institute of Foreign Languages for Tourism. Courses pleted: Tourist Economics, Tourist Marketing, Toursit Psychology, Tourist Culture, Tourist Etiquette Study, Guiding Methods and Techniques, Vocational Ethics of Tourism, Chinese Cuisine, Tourist Attractions in China, Tourist Law, etc.Foreign Languages:Fluent English and adequate Japanese.Technical Qualification:Received a Tourist Guide Qualification Certificate in 2008.看过“英语个人简历范文3篇”的人还看了:个人简历范文英语篇三During my college years, I have always aimed to improve my prehensive quality, and I have developed a correct outlook on life, values and world view in the direction of my overall development. In order to meet the needs of social development, I carefully study all kinds of professional knowledge and give full play to my strengths. Digging their own potential, bined with the annual summer social practice, thus gradually improve their learning ability and analysis ability to deal with problems and certain coordinated organization and management ability. "Learning without knowledge" is the motivation for my study and work in college. Besides the required courses, I have also taught myself many professional software such as office, flash, frontpage and photoshop.After studying, I have not forgotten to participate in various sports activities and social activities. In the aspect of thought and behavior, I have a good style and sincere attitude, and can handle interpersonal relations well. I am calm and prudent, and can arrange the affairs in my life reasonably. As a recent college graduate majoring in munication engineering in XX, I have young and knowledge. Young may mean lack of experience, but also means that young enthusiasm and vitality, I am confident to depend on their ability and knowledge in the work after graduation and overe various difficulties in life, the life value of the self-realization and the pursuit of goals.个人简历范文英语篇四I am an optimistic and cheerful person, good at getting along with people, have affinity, treat life with passion, serious and responsible work, patient, can bear hardships and stand hard work; In college, I systematically learned the knowledge of property management, familiar with the work related to property management, familiar with the laws and regulations of property management, and familiar with basic office software.At the same time, I also took advantage of the time to the property pany internship, as a security guard; I used to participate in many associations in university and have a wide range of interests and hobbies. Hope to develop in the property industry.个人简历范文英语篇五Master Program in Economics or relative areaEducation Background09/2004-07/2007 xxxx UniversitySchool of Economics, Department of EconomicsGPA: (overall), XX/ (major)Degree: BachelorProfessional Research Experience2005 Research on Development Economics of xx University Economics CollegeDescription: Peasant worker’s living conditions and reason of entering into city in xxPosition: leader of the groupResponsibilities: designed the questionnaire and sent it out randomly in xxx.Organized the members to investigate and posed the report——Dynamic Reason Analysis on the Migration of Rural Labor to Urban Areas2005 xxx University Economy Investigation of xxx, xx province,Responsibilities: Assist the professor to municate with the local government and enterprises, collecting the datum and posed the thesis——Research Report on self-supporting economic model of xx2006 research on the data of China xxand China xx,Description: Analyzed the present status and future development trend of China xx andChina xx from the view point of industrial economics and analyzedthe present status and future development situation of China xx industry.2005 xx Business Strategy CompetitionDescription: The petition simulates the international cosmetic market in a new economics environment by software. Combining with all the main factors, each group operates a suppositional cosmetic pany on the internet and petes with another suppositional one. Final petition result lies on the price of stock. Though the internet environment is the suppositional one, the professional knowledge and skills and the management of a pany is similar with the real one, so the joiner should give a plete decision-making.Achievements: Practiced my professional knowledge and the operation ability in Economics, and improve my ability of analysis and planning.2005 xx University Challenge CupDescription: Award for Youth Science of xxx University Challenge Cup, which is the most Influential honor in xxx University, is the highest prize in the extracurricularactivates of xx University.Achievements:Designed a topic about financial market, I did a good research on the current situation bout Chinese financial market, and improve my research ability andoperation with my classmates.Publication PaperResearch Report on self-supporting economic model of xx published onFuture Economist, xxx University.Dynamic Reason Analysis on the Migration of Rural Labor to Urban AreasAnalysis on Developmental Restrict Factor of Chinese Third IndustryThe Inventor of xxx, Analysis of Marketing Strategy of xx Internet Development Co.,LtdReport of Analysis of xxx Industry AnalysisReport of Research of Rural Agriculture DevelopmentSocial Activities2003-2004 Planer of Youth Volunteer Association of xxx University2003-2004 Volunteer of Love Society of xx University2003-2004 English Culture Communication Association xxUniversity2003-2004 Member of Consultation Society xx University2003-2005 Member of Outside Department, Green Life Society, xxx University2004-2005 Member of Slipper Association xxx UniversityStandard TestTOEFL:627 TWE: Date: 08/19/2006GRE:1190 TWE: Date: 06/06/2006Computer SkillsProficient in office software such as word,excel,PowerPoint and FrontPage,Excellent ability of cartography and webpage makingProficient in photoshop, dreamweaver, fireworks and Macromedia FlashHaving the foundation of programme (C language and VB)Comprehending asp and phpProficient in economics software:eviews,ps and sas个人简历范文英语篇六Name:Gender:Date of Birth:Citizenship:Major:ObjectiveAssistant of your office or the manager; Interpreter of pany or organization which concerns international business; College or vocational university‘s teacher.Education BackgroundSeptember 2002 to July 2006, Shandong University of Architecture Main SkillsAbout EnglishHave past the Test for English Major 4; fluent oral English, and good pronunciation.Major target: ESP of technology, esp. architecture and real estate, and also international business.About GermanAbout ChineseHave got the Certificate of Chinese, the score isAbout ComputerHave a good mand of puter, knowing the basic maintain of hardware and software;Good sense of Visual Foxpro in web page design, and had mastered the MACROMEDIA, which including Dreamweaver,Flash and Firework.Skilled in Microsoft Office, including FrontPage.Work ExperienceHave part time job in Shanghai Yaru Consulting during 2004 and 2005 summer holiday.Did the market research for Shandong Shiguang Boiler (shanghai branch) in shanghai.Experiences on be a tutor of junior, senior middle school students and college students.Many times of doing promotion sales for stores during the campus life.ActivitiesFrom 2004 to 2005, be the minister of the Network Department and Publicity Department of the Students Union.Awards HonorsIn the year of 2004, awarded the "Model student stuff "prize of our school.In the year of 2004, won the third level scholarship of our school.In the year of 2003, won the "Excellent Student" prize of our school.InterestsHave intensive interest in traveling, photographing; Reading, business, economy and puter.SelfEvaluationStrong sense of responsibility, good spirit of teamwork. Can learn new things well in short time.个人简历范文英语篇七NAME:EmailEducationColumbia University, Teachers College New York, .Master of the Arts, Organizational Psychology February 20xxFocus of Study: Leadership and management development; clinical, counseling, and personality psychology in relation to employee development; performance management; job analysis and classification; petency modeling; and diversity in the workplace.Research Assistant: §Diversity in the Workplace¨ (worked with . students on data analysis) Boston College Chestnut Hill, .Bachelor of the Arts, English Composition, Cum Laude May 20xxEnglish Department Honors (top 2%)University of Richmond London, EnglandStudy Abroad Program (academic scholarship) September 20xx - January 20xxUniversity of Bourgogne Dijon, FranceStudy Abroad Program (academic scholarship) June - August 20xxExperienceMetropolitan Transit Authority, New York City Transit Brooklyn, .Analyst, Personnel Testing, Selection, Classification, Human Resources March 20xx -presentConduct interview-and observation-based job analyses and write prehensive job analysis reports for highly technical trade positions (., Mechanical Engineer)Observe tasks performed, working conditions, performance standards, and other relevant informationAnalyze this information in order to determine the required knowledge, skills, and abilities Based on this information, write current and accurate job descriptions, design valid and non-discriminatory Civil Service examinations, analyze the efficiency of the current organizational structure and remend job design changes, and provide。

清华大学计算机系本科生全部课程详细介绍

清华大学计算机系本科生全部课程详细介绍

本科生课程介绍课程名称中文英文讲课对象适用专业课程简介Introduct ion 讲课教师高工课程名称中文英文讲课对象适用专业课程简介全校选修+计辅本课程是计算机科学与技术系为全校本科生开设的一门重要的计算机专业基础课,目的是培养学生的软件力。

本课程以软件生命周期的主要活动为主线,从软件及软件工程的历史和发展、软件开发过程、需求分析、软件维护、软件项目管理、标准及规范等方面全面介绍软件工程的基本理论、方法、技术和工具。

使用教材Software Engineering Ian Summerville参考书Software Engineering: A Practitioner’s Approach, Roger S. PressmanSoftware Engineering: Theory and Practice, Shari, Lawrence Pfleeger徐玉华(1)承担全校计算机辅助设计技术基础课教学课号: 00240033 学分: 3 课程属性:全校任选 开课学期: 秋季软件工程书名作者This course focuses on the basic concepts,principles,algorithms and applicationsdesign(CAD),it mainly consists of the following topics:software and hardware system of Ctransformations,line clipping,raster display of 2D graphics,curves and surfaces,soldimensional transformations,three-dimensional viewing,visible-surface determination,models,and introductions to AutoCAD,3DMAX 5.0and OpenGL.It is an ideal choice for slearn the rudiments of this dynamic and exciting CAD technology.姓 名职称 主要教学和科研领域孙延奎副教授主要教学领域:(1)承担全校计算机辅助设计技术基础课教学;(2)析及其应用课教学;主要研究领域:小波分析及其应用,科学计算可视化,计算机图形学,。

职高计算机英语知识点总结

职高计算机英语知识点总结

职高计算机英语知识点总结1. Basic Computer Knowledge- Basic components of a computer: CPU, monitor, keyboard, mouse, motherboard, memory, hard drive, etc.- Computer hardware and software: Understand the difference between hardware and software, and their roles in a computer system.- Operating systems: Windows, Mac, Linux, etc. Understand the basics of these operating systems and how to use them.- Computer networks: Understand the basic concepts of computer networks, such as LAN, WAN, IP address, etc.- Computer security: Understand the importance of computer security and the basic measures to protect the computer from viruses, malware, and other security threats.2. Programming Languages- Basic understanding of programming languages such as Java, C, C++, Python, etc.- Syntax and semantics: Understand the syntax and semantics of programming languages, and how to write and debug code.- Object-oriented programming: Understand the basic concepts of object-oriented programming, such as classes, objects, inheritance, polymorphism, etc.3. Web Development- HTML/CSS: Understand the basics of HTML and CSS, and how to create and style web pages.- JavaScript: Understand the basics of JavaScript and how to add interactivity to web pages. - Responsive design: Understand the concept of responsive design and how to create websites that adapt to different devices and screen sizes.4. Database Management- Basic understanding of databases and data management.- SQL: Understand the basics of SQL and how to write queries to retrieve and manipulate data in a database.- Database design: Understand the basics of database design and how to create and maintain a database.5. Networking- Basic understanding of computer networks and network protocols.- TCP/IP: Understand the basics of TCP/IP and how data is transmitted over a network.- Network security: Understand the basics of network security and how to protect a network from unauthorized access.6. IT Support- Basic understanding of IT support and troubleshooting.- Hardware troubleshooting: Understand how to diagnose and fix hardware problems in a computer system.- Software troubleshooting: Understand how to diagnose and fix software problems in a computer system.7. Cybersecurity- Basic understanding of cybersecurity and the importance of protecting computer systems from security threats.- Common security threats: Understand common security threats such as malware, phishing, and social engineering.- Security measures: Understand the basic security measures to protect a computer system from security threats, such as using antivirus software, firewalls, and encryption.8. Software Development Lifecycle- Understand the software development lifecycle, including the phases of requirements analysis, design, development, testing, deployment, and maintenance.- Agile methodology: Understand the basics of the agile methodology and how it is used in software development projects.- Version control: Understand the basics of version control systems such as Git, and how to use them to manage and track changes in a software project.9. IT Project Management- Understand the basics of IT project management, including project planning, scheduling, budgeting, and risk management.- Project management tools: Understand common project management tools such as Gantt charts, PERT charts, and Kanban boards, and how to use them to manage IT projects.10. Cloud Computing- Understand the basics of cloud computing and the benefits of using cloud services.- Cloud storage: Understand the concept of cloud storage and how to use cloud storage services to store and manage data.- Cloud-based applications: Understand how to deploy and manage cloud-based applications and services.In conclusion, computer English knowledge is essential for students in vocational high schools who are studying computer science or related fields. The knowledge points mentioned above cover a wide range of topics, including basic computer knowledge, programming languages, web development, database management, networking, IT support, cybersecurity, software development lifecycle, IT project management, and cloud computing. It is important for students to have a solid understanding of these knowledge points in order to succeed in the field of computer science.。

工程管理信息系统课程简介

工程管理信息系统课程简介

《工程管理信息系统》课程简介 课程代码 :课程名称(中英文) 学时学分先修课程 推荐修读学期工程管理信息系统/Project Management Information System 36 2计算机基础课、管理学基础、运筹学5、6课程简介:本课程的任务和教学目的是使学生掌握管理信息系统的概念、结构和建立管理信息系统的基础、管理信息系统开发方法学、管理信息系统开发过程各阶段的任务与技术、管理信息系统的开发环境与工具以及其它类型的信息系统等;使学生通过本课的学习,了解管理信息系统在工程管理中的作用。

并通过实践培养学生综合运用知识和分析开发应用系统的初步能力。

课程内容包括管理信息系统的基本概念、基本原理及最新的系统开发方法,结合实例介绍了系统调查、系统分析、系统设计、系统实现、系统测试、运行维护等阶段的工作方法、工作原则和应该建立的文档资料等几大板块。

本课程中的6学时安排上机实习,要求完成简单的工程管理信息系统案例的软件开发。

撰写人: 院(系)公章:院(系)教学主管签字(盖章): 时 间:《Project Management Information System》Curriculum IntroductionCurriculum No :Curriculum Name Hours ScoresPreviousCurriculumRecommendedPeriodProject Management Information System 36 2BasicComputer、BasicManagement、OperationalResearch5、6Curriculum Introduction:Let students to master the concept and structure of management information system ,to master assignment and technique in all stage which include building base of management information system and developing method of management information system, developing course of management information system ,to master developing surrounding or tools of management information system and other information system ,and so on.. let students to understand the usage of management information system in project management. I will educate students who can have the basic ability of using knowledge comprehensively and analysis developing system. curriculum content :basic concept and principle of management information system ,system analysis, system design , system realization, system test, system safeguard, establish word data. I will assign students computer class which require they accomplish the development software of basic management information system.Author: Department Cachet: Sign of Department’s Teaching Director: Date:。

外文翻译----基于社会性软件的个人知识管理应用程序模型的研究

外文翻译----基于社会性软件的个人知识管理应用程序模型的研究

Research on the Application Model ofPersonal Knowledge Management Based on Social Software Abstract:In recent years, Internet has been glutting with Social Software, like Hotmail, MSN, ICQ, etc. How to effectively apply them into Personal Knowledge Management,which is the process of obtaining, evaluating, arranging, analyzing, revealing and sharing information, is an extremely significant job for educational researchers. Many studies have used one SS in PKM, there is no research on the combination of various SS to apply them effectively in PKM. Our paper, therefore, studies the macrocosm of the application of various SS in PKM.Keywords:Social Software; Personal Knowledge Management; BLOG, WIKII. INTRODUCTIONSocial Software, the driving force of the new Internet revolution, play an important role in the information share among people. By using SS, the spreading of knowledge and the expansion of relative information can be strictly followed. Therefore, the natural relationship between SS and personal knowledge management can not be broken off. It won’t be hard to imagine that PKM will become part of SS in the future. Therefore, many scholars, companies and individuals have been attracted to do all kinds of researches, software development and practices, which make the practice of SS in PKM become a new sector. However, in terms of the practices and researches in a certain of SS, macrocosm had been short of. This article will offer a new complete application model of SS which supports to PKM.II. SOCIAL SOFTWARE OVERVIEWSocial Software (SS), a result of the socialization of software, has always been a hot topic since 2002. Social software is normally applied to a range of web-enabled software programs. The programs usually allow users to interact, communicate and share information with other users. Users use the SS as a communication means to improve their social relationship, meanwhile they consider the non-social software as an IT tool rather than a communication means. Therefore, SS distinguishes itself from the non-SS by the following points:• The software reflects the social network in the real world when it is being used.• The sp ontaneous grouping and organization.• Self-centered, light-duty, easy-united, Web connected.• Many 2 Many (Group to Group).• The reflection of users’ identity and trust in software.• Software update and self-development.• The active individual partici pation in groups.Actually, before its widely recognized, SS has already been widely used with the development of the Internet. For example, E-mail and Instant Message are all early SS. But these SS have straightforward aims, mainly on communication. Recently, as theidea of SS becomes clearer and the Internet grows rapidly, SS reaches its prime time. Many new multi-functional SS, especially those working on spreading, communicating and sharing of knowledge, such as BLOG, WIKI etc., enter the stage. Based on the mission and new development of SS.A. BLOGBLOG is a kind of network publication and communication form of personal information and thoughts that is presented chronologically and also it is frequently updated. It is a new channel to post network information and simple to use, which accounts for its popularity. A great number of BLOGGERS (That is BLOG writer) create abundant Internet information spontaneously. BLOG makes it more convenient for users to post personal information and it is of great significance on exploring and sharing implicit knowledge.B. RSSRSS is a kind of union pattern of web content, including a set of element data rules used to describe web content and an interactive and provide a multi-beneficial application system to content integrators, content providers and end users. Depending on RSS technology, people can browse the web abstract and news with the on-line or off-line RSS reader, without website login.C. WIKIWIKI is a kind of hypertext system. It offers a support to community collaborative writing and an auxiliary tool to such writing as well. Many people can maintain WIKI and WIKI provide an access for everyone to post his comment or extend and discuss the common subjects. Accordingly, WIKI means a lot to establishing shared knowledge base.D. TagTag can also be said to be a key-tag search to find help. But the tag is also different from the general keywords, search using keywords, can only search articles which mentioned the words, but they can tag the article as there is no tag to mark the key words, such as the above that articles, I can be marked as "data" or "history", of course, more often labeled as "physical", but, if I tag "data" tag, all the information you can associate all of the articles easy to find. 3.tag significance lies not only in classification, but also because it can reflect each user's thinking, life and feelings. For example, last year you go to Beijing travel, train travel with you and your family's photos, you can identify it to Beijing. Later, when you see this is not Beijing's photos, you can think of tourism in Beijing. 4.tag different from ordinary classification, which is built from the bottom up, the general classification is generally established from the top down. 5.tag significance is reflected in the share: through the same tag you want to have to find someone else's blog, network pick, pictures, files, etc.Tag is an identifier of categorization information. Generally speaking, tag is kind of categorization system. However, users themselves set up each tag and there is no need of following some certain categorization system. In sum, it’s a new approach of organizing information.E. SNSSNS, the full name of Social Networking Services, social networking services,verbal fight Internet application service designed to help people build social networks. Can also refer to information on existing mature universal carriers of society, such as text messaging SMS service. Another common explanation of the SNS: full Social Network Site, that is, "social networking" or "social network". Social networking (Social Networking) is a network of relationships between individuals, this site is based on social networking systems thinking social networking sites (SNS website). SNS can also refer to Social Network Software, social networking software is a distributed technology, XSP is using P2P technology, build the next generation network infrastructure based on personal software.SNS is the abbreviation of Social Network Service. According to the theory, users extend the social relationship by making friends through social network software.III. THE ANALYSIS ON THE COMBINATION USAGE OFTHE SS IN PKMA. Theoretical Analysis1) Over turn the idea that one set of SS can support the PKM comprehensively.Due to the d ifference in individual study style and intelligence, one’s successful PKM method cannot achieve the same result or even worse if we just impose the method on another person without any customization. Likewise, the application of the personal SS is no exception.Concerning the SS serving as the PKM tools, there is no one SS that can support the PKM comprehensively. By analyzing the application of various SS in PKM, a conclusion can be reached that despite the common characters, these SS obviously vary in their functions. These software work on different aspects of the PKM, such as the social network focusing on the establishment of the social relationship, E-mail, IM mainly work on supporting the social communication, Social Tags, BBS is for the discussion while WIKI for the group cooperation and the sharing of the knowledge. Up to now, BLOG, which is widely used in PKM, is a comparatively comprehensive tool in this area. Its comprehensive support is mainly reflected in the information assessment, organization, demonstration and sharing. Yet, there still are many problems that cannot be ignored, for example, it is not good at communication and it does not have the function of bookmark and collection.Moreover, because of its short time development, the soaring numbers of participants in BLOG are neither very knowledgeable nor well informed in academic level. This fact confines the discussion in BLOG mainly on common daily experience and words like “good talk” “I agree”“hehe” are often seen in its comments.All kinds of SS affect PKM differently. The table II is a summary for the application of all kinds of SS in PKM.2) Combine different sorts of SS in order to support the PKM comprehensively.According to the analysis and introduction of different sorts of SS in Part two, there is various software which are widely applied and hence leave us many choices. Therefore, individuals could pick up and organize some particular SS that suit them best to develop a comprehensive combination. In this paper, we attempt to combine different kinds of SS on the basis of BOLG so as to provide effective supports to a better PKM.B. Technology Analysis1) World-wide standardized technologySS is easy to study and use. All of the SS utilize the same network protocol and technology, such as, HTML, XML, and RSS etc. They can combine things from different systems to work in one in order to achieve the cooperation among these systems and the association of various functions. For example, by using BLOG, we can use Flicker to send and receive photos, YouTube to release sound and pictures. Also, BLOG shows the thesis in CiteULike, web page in , the newest up-to-date information on WIKI.2) Easy to useEasy to use is the key to the success of SS. If we ignore this, many clients will no longer stay with the SS. It is advisable to combine different SS that are easy to learn or are already familiar to the netizens. All they should do is to link their familiar software and make their original personal relationship network intact.C. Application Analysis1) Research on the study purposeThe purpose of statistic analysis is to get to know the current clients of the SS and the application basis and the current situation of the SS as well. By doing so, it opens up the vistas of the application of SS in PKM.2) Investigation and Research Data SourceThe follow is cited and translated from Part 5: “The network services frequently used by netizens” in “The 22nd statistics research of Chinese network development, July 24,2008 (CNNIC: China Inte rnet Network Information Center).”According to this research, news-browsing (81.5%), Instant communication (77.2%), search engines (69.2%), emails (62.6%), online movie watching and downloading (71.0%), online music listening and downloading (84.5%) are the top rank of all Internet services. The choices on these three services are about 20% more than the second popular group of Internet services. The second popular group covers the services that receive about 31%--50% votes. These services are BBS(38.8%) and BLOG (42.3%). Alumni group, shopping on line and individual web page etc. form the third group with the votes under 30.0%.3) The analysis of the research outcomeBy analyzing the data above, it is easy to point out that the following SS play important roles in the frequently used Internet services: instant communication (77.2%), email (62.6%), BLOG (42.3), BBS (38.8%). Meanwhile, some other SS such as WIKI and Social Tags are not seen in the statistic form. It shows that these SS are neither very well known nor frequently used.Generally speaking, the fact that SS has already been widely used and accepted among netizens can be seen as a good foundation for adopting SS to manage PK. It can be seen in the current research of the SS application that SS has already been widely used. But, after studying the relative network station and materials, there are still some problems which are waiting to be solved in the paper.a) Various SS are characterized by different functions.It brings about difficulty to users when they try to make their choices of SS todo the PKM.b) Without relative theoretical direction for the application of these SS in PKM, it is hard to guarantee the effectiveness. This research attempts to provide people with a PKM framework which is based on relative theories in order to achieve an effective PKM.c) Each software is characterized by its own feature. Only one software cannot cover all the needs of users to do the PKM.IV. THEMODEL TO APPLY SS’SCOMBINATION INTOPKMAccording to the characteristics of all kinds of SS, the application model stresses the practice of combination. The pattern is showed in the figure 1.A. The Selection of Platform for CombinationThis pattern chooses BLOG as the platform for combination. BLOG has many users who have already set individual BLOG in Internet. If BLOG has been used for PKM, the platform does not have to be transferred. Now the function of personal BLOG service is complete and specializes in information arrangement and revelation, therefore, PKM can be supported fairly completely. Besides, most of BLOG provide several alternate forms, such as RSS, Trackback and the external link, which can complete the inlay between itself and other SS conveniently and effectively.B. Apply other kinds of SS into the Combination ModelTo meet our demands, we should select other kinds of SS to realize the combination between them and BLOG. Therefore, the advantages of these SS in PKM can be exerted and the mutual coupling among all kinds of applications can be achieved.Social Networking Service (SNS) is showed mainly in the establishment of interpersonal network. The help to individuals is based on the formation of individual interests and demands, management and the broadening of social interpersonal relationship. That is the command and management of individual interpersonal knowledge which relates to that who knows it and who knows how to do something. In fact a good command of the knowledge contributes to the establishment of special social relationship with certain experts. Then may be we can obtain and make a good use of the knowledge of experts. The support from the courses of such PKM as information obtain and information appraise can be gained by specialized experts and researchers with common interests, etc in this interpersonal network. The combination of BLOG platform can be completed by the addition of personal BLOG information into the individual information platform function of SNS.Social tags and folksonomies is a kind of SS which can collect and share super-links, media-documents in Internet. It exerts a great function in information searches of PKM. Individuals can be added to individual BLOG by external links.E-mail, a major tool of communication in Internet, is an indispensable way of contact for the application of other SS service. So it becomes a indispensable and basic tool in PKM. Such SS as individual BLOG, SNS basically provide the function of revelation E-mail address. Then others can obtain our address conveniently to support the intercommunication in PKM.IM is short of Instant Message. Nowadays, because intercommunication cannot be reached among IM tools, so IM tools with more users should be selected to make convenience to the communication in PKM process. Also, IM tools become a important way of contact which asked for provided by such SS as BLOG, SNS, etc.BBS is the short of Bulletin Board Service. A lot of valuable information exists in BBS. Furthermore, among it you can fall across a lot of experts. You only need leave your BLOG address in BBS, the one who interests in can link to you BLOG through it. WIKI emphasized particularly on knowledge shareand c reating together and team cooperation, which fit for group knowledge deepen portrait. Particularly team WIKI and task WIKI, which have stronger specialty. It can provide specialty background and more valuable information source for PKM.In this Model, users can manage their PK base better than before, including obtain, evaluate, arrange,analyze, reveal/exchange and share their PK. Until now, we can through BLOG and BBS to help us trade PK, and IM also can do it by one-to-one, but in the future, we will trade the PK completely and conveniently through this Model.There are any number of Internet search engines available now. The search engines seem to be proliferating almost as quickly as the sites they set out to "index". Some of the more common search engines are: Yahoo, Alta Vista, Webcrawler, Lycos. Magellan, Hotbot, Infoseek. Metacrawler, Freep. There are also dozens (perhaps hundreds) of Web sites that evaluate the effectiveness of the various search engines. Some of these sites are mounted by libraries, some by companies, some by individuals. A quick sampling of the so-called evaluative sites reveals the following: each engine uses different search syntax, each engine uses some type of relevance ranking, each engine indexes only a small number of the total number of Web pages available, each search engine retrieves different results for the same search, and no single search engine satisfies everyone. How is PKM implemented? Individuals must initiate a process of developing a mental map of the knowledge with which they work. They do this by creating an organizational structure to facilitate the finding and relating of personal and professional information. They can use the storage capacity (hard disk) of the personal computer as a tool for initiating these processes. At the Anderson School of Management at UCLA, we present a strategy for integrating personal aspirations, career objectives, and educational experiences that is called the Anderson Edge. In the recent past, the role of educators was to guide people to mines of data, show them how to uncover their own veins of information, then teach them how to sift through the rocks and debris and identify the true nuggets of knowledge. Now educators find themselves having to provide students with the means to keep from being buried alive in the never-ending avalanche of information, while still managing to grab the nuggets, store them safely, and retrieve them for use when needed. Stephen Jones and Peter Thomas looked at personal information management tools in a 1997 article (e) and noted that 60% of their study sample utilized "to do" lists, 45% used calendars, 45% used address books, 40% used personal organizers, 40% used desk diaries, 35% used pocket diaries, 15% used appointment books, and less than 10% used personal digital assistants-the only computer-assisted information management system included in the study. We are seeking to teach people to use thecomputer to manage their personal knowledge, as opposed to information.There is no generally agreed-upon definition for knowledge. Sveiby lists some attributes of knowledge that help in the understanding of it: it is an unlimited resource - one never runs out of the raw materials; knowledge grows from sharing (and the giver of knowledge frequently becomes even more knowledgeable through the process); and communication and personal chemistry are critical in the knowledge process. Nonaka and Take note that there are two types of knowledge: tacit (subjective) knowledge and explicit (objective) knowledge. Tacit knowledge is the knowledge built on experience. It includes insights, intuitions, and hunches and is not easily visible and expressible. It is highly personal and is hard to formalize and share with others. Explicit knowledge is formal and systematic and can be expressed easily in words and numbers. It is the knowledge of rationality and is easily communicated and shared in the form of hard data, formulae, codified procedures, or universal principles. The following chart show knowledge spiral chart developed br Nonaka and Takeuchi.V. CONCLUSIONThe purpose of the SS is to set up a network of human relationship on the Internet. SS not only combine the human relationship with the convenience of Internet but also effectively support the seven processes in the PKM. Through analyzing the classification and the characteristic in PKM of SS, this paper provides the pattern which utilizes all kinds of SS’s combination to support PKM. This pattern is adaptable to learning society, which can create flexible environment for the development of PKM. It can sustain autonomous learning, inspire individual’s spirit, and provide a open space for PKM. It can construct the net learning society clusters, which accelerate PKM through the society knowledge construction.基于社会性软件的个人知识管理应用程序模型的研究摘要:近年来,互联网已与社会性软件供应过剩,如Hotmail,MSN,ICQ等,如何有效地应用到个人知识管理,这是获得的过程中,评估,整理,分析,揭示和信息共享,教育研究的一个极为显著的工作。

journal of knowledge management投稿经验

journal of knowledge management投稿经验

journal of knowledge management投稿经验作为知识管理领域的一位研究者,投稿到journal of knowledge management是我一直梦寐以求的事情。

在这篇文章里,我将分享我的投稿经验,并希望能对其他作者提供帮助。

第一步:了解JOURNAL OF KNOWLEDGE MANAGEMENT在投稿之前,我花了很多时间研究journal of knowledge management的投稿指南,包括投稿类型、格式要求、引用格式,以及其他提交要求。

Journal of knowledge management是行业内知名的期刊之一,它的审稿人非常严格和专业。

第二步:准备好你的文章在你准备投稿之前,请确保你的文章符合期刊的要求。

文章的语言必须准确、精炼;文章内容应该原创,有利于知识管理领域的研究和实践。

此外,你还需要重新审视你的文章,阅读并修改错误,确保它满足期刊家规、格式和文体要求。

第三步:提交你的稿件当你准备好你的稿件之后,你需要进入JOURNAL OF KNOWLEDGE MANAGEMENT的网站,选择“提交文章”选项,进入在线稿件提交系统(online manuscript submission system)页面。

在这里,你需要提供一些关于你的稿件的信息,包括文章摘要、关键字、附件等内容。

请注意,在提交期刊之前,请确保你的文章是按照期刊要求和规定格式编辑的。

第四步:等待回复通常情况下,当你提交了你的文章,审稿过程将会在几周或几个月内完成。

你会收到主编或审稿人的回复,得到有关你是否被接受,以及接受的时间和要求的修改等信息。

如果您的稿件被接受,在修改或撰写最终版本时,请细心对文章做出相应的修改,确保文章质量符合期刊的质量标准,并按照期刊要求提交。

总结投稿jounal of knowledge management是一项需要仔细准备和执行的过程。

如果你认真,你很有可能会得到期刊编辑和审稿人的认可,同时也会极大的贡献知识管理领域的研究和实践。

知识库系统构建及其关键技术研究

知识库系统构建及其关键技术研究

^mmmm2021年第04期(总第220期)知识库系统构建及其关键技术研宄徐辉(中国人民解放军91977部队,北京100036)摘要:文章提出了一种知识库系统的设计构建方法,将知识管理理念与大数据等现代信息技术有机结合,通过构建知识 数据资产集中管控平台,对文档资料实施数字化采集存储管理;整合多源异构数据信息,消除数据竖井,实现数据统一管 控与共享服务;聚合各部门数据,整合提取价值信息,支撑知识共享创新应用,并详细介绍了知识库系统构建的关键技术。

关键词:知识库;知识管理;知识库建设中图分类号:TP309 文献标识码:B文章编号=2096-9759(2021)04-0121-04Research on the Construction of Knowledge Base System and Its Key TechnologiesX u H u i(The P LA91977 U n it,B e ijin g100036)A b stra ct:T h is paper proposes a m ethod fo r designing and constructing a knowledge base system.B y organically com biningknowledge management concepts w ith big data technology,a centralized management and control platform fo r knowledge data assets is constructed,and d ig ita l collection and storage management o f documents is im plem ented.B y integrating m ultisource heterogeneous data inform ation and elim inating data silos,un ifie d data management and sharing services are realized.B y ag­gregating data from various departments and extracting value inform ation,innovative applications o f knowledge sharing are re­alized.It also introduces the key technology o f knowledge base system construction in detail.Keywords:knowledge base;knowledge management;knowledge base construction.〇引言随着信息时代和知识经济时代的到来,知识管理逐渐成为 重要工作之一。

对软件工程的认识英语作文

对软件工程的认识英语作文

对软件工程的认识英语作文Software engineering is a fascinating field that combines creativity and problem-solving skills. It involves designing, developing, and maintaining software systems to meet specific requirements. The process of software engineering requires a deep understanding of programming languages, algorithms, and data structures.In software engineering, the ability to think logically and analytically is crucial. Developers need to break down complex problems into smaller, manageable tasks. They must also consider different scenarios and potential errors that may arise during the development process. By being detail-oriented and thorough, software engineers can create robust and reliable software systems.Another important aspect of software engineering is collaboration. Developers often work in teams, andeffective communication is essential for the success of a project. Team members need to share ideas, discusstechnical challenges, and coordinate their efforts to ensure that the software meets the desired objectives. Collaboration also extends beyond the development phase, as software engineers need to work closely with clients and end-users to gather feedback and make necessary improvements.Continuous learning is a fundamental principle in software engineering. Technology is constantly evolving, and developers need to stay updated with the latest tools, frameworks, and programming languages. They must be willing to adapt and learn new skills to remain competitive in the industry. Additionally, software engineers should be open to feedback and criticism, as it helps them grow and improve their work.Testing and quality assurance play a crucial role in software engineering. Developers need to thoroughly test their software to identify and fix any bugs or issues. This ensures that the software functions as intended and provides a seamless user experience. Quality assurance also involves conducting performance tests and optimizing thesoftware for efficiency and scalability.In conclusion, software engineering is a dynamic and challenging field that requires a combination of technical skills, problem-solving abilities, and effective communication. It is a continuous learning process that demands attention to detail and a commitment to delivering high-quality software systems. By embracing these principles, software engineers can create innovative solutions that meet the needs of users and contribute to the advancement of technology.。

Knowledge Engineering and Management

Knowledge Engineering and Management

Knowledge Engineering and Managementis a crucial aspect of modern organizations, as it involves the creation, acquisition, organization, and sharing of knowledge to enhance decision-making and performance. In this article, we will delve into the concepts of knowledge engineering and management, discuss their importance, and explore effective strategies for their implementation in organizations.Knowledge engineering is the process of designing and developing knowledge-based systems that can use specialized knowledge to solve complex problems. It involves capturing and encoding knowledge from experts in a specific domain into a computer system, allowing the system to perform tasks that would typically require human expertise. This can include rule-based systems, machine learning algorithms, and expert systems that can analyze data, make predictions, and provide recommendations based on the knowledge they have been programmed with.Knowledge management, on the other hand, focuses on the processes used to create, store, share, and apply knowledge within an organization. It involves the creation of knowledge repositories, the development of knowledge sharing platforms, and the establishment of processes to ensure that knowledge is effectively utilized throughout the organization. Knowledge management also includes strategies for knowledge retention, knowledge transfer, and the development of a knowledge-sharing culture within the organization.The importance of knowledge engineering and management in organizations cannot be understated. In today's rapidly changing business environment, organizations need to be able to adapt quickly to new technologies, market trends, and customer demands. By effectively managing and leveraging their knowledge assets, organizations can make better decisions, innovate more efficiently, and stay ahead of the competition.Effective knowledge engineering and management strategies require a multidisciplinary approach that combines expertise in information technology, cognitive science, organizational behavior, and business strategy. Organizations need to invest intools and technologies that facilitate knowledge capture, storage, retrieval, and sharing. They also need to develop processes and systems that encourage collaboration, creativity, and continuous learning among employees.One effective strategy for implementing knowledge engineering and management in organizations is the establishment of communities of practice. These are groups of employees who share a common interest or expertise and come together to learn from each other, share best practices, and develop new knowledge within their domain. By fostering a culture of collaboration and knowledge sharing, organizations can tap into the collective intelligence of their workforce and drive innovation and performance.Another important aspect of knowledge engineering and management is the use of knowledge management systems, such as document management systems, intranets, wikis, and social networking platforms. These systems enable organizations to capture, store, and share knowledge in a structured and accessible format, making it easier for employees to find the information they need, collaborate with their colleagues, and stay informed about the latest developments in their field.In conclusion, knowledge engineering and management are essential components of successful organizations in today's knowledge-based economy. By effectively capturing, organizing, and sharing knowledge within the organization, companies can improve decision-making, drive innovation, and achieve a competitive advantage. It is crucial for organizations to invest in the tools, technologies, and processes that support knowledge engineering and management and to foster a culture of collaboration, learning, and continuous improvement.。

knowledge-based模型

knowledge-based模型

knowledge-based模型
knowledge-based模型是一种基于知识的机器学习模型。

在这
种模型中,系统是通过使用先前确定和编码的知识来进行推理和决策的。

这些知识可以是人工领域专家提供的规则、逻辑和推理过程,也可以是经验数据和实例。

知识可以被表示为规则、语义网络、概念元组等形式。

知识驱动的模型通常用于处理复杂的问题,并且可以用于专家系统、自然语言处理、推荐系统等应用中。

这种模型具有较高的解释性和可解释性,因为它们的决策是基于明确的知识和规则。

然而,它们对于学习新的知识和适应新的情境可能不够灵活。

与基于数据的模型相比,知识驱动的模型本质上是一种从先验知识中进行推理和决策的方法。

它们广泛应用于专家系统、推理系统、决策支持系统等领域,在这些领域中,需要根据特定的规则和知识来推断和决策。

总之,knowledge-based模型是一种使用预先编码的知识来进
行推理和决策的机器学习模型,可以提供高度解释性和可解释性,适用于处理复杂问题和专门领域的应用。

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KNOWLEDGE BASED MANAGEMENT OF SOFTW AREOBJECTSJEAN-MARIE CHAUVETAbstract.As object-oriented approaches to software engineering are gainingwider acceptance,the body of software components available as reusable ob-jects is expected to grow accordingly.The emerging object oriented databasetechnology promises to provide appropriate access paths to such,possibly largeand semantically rich,software bases[5].The software engineer is then respon-sible for solving problems in software design and software development projectmanagement.The latter problems are,in important respects,ill-defined andill-structured.The work presented in this paper stemmed from the need to build indus-trial strength software tools to design end user interfaces to expert systems.Extensibility and portability constraints lead to the use of an object orientedarchitecture and programming language.The accessibility of expert systemtechnology lead us to tackle the ill-structured problem of designing a userinterface by applying knowledge based problem solving to the design processitself.The resulting environment,called NOOS,for building interactive graph-ics interfaces makes extensive use of knowledge based reasoning to assist thesoftware engineer in the design,and to manage the object database at execu-tion time.Knowledge Based Management of Software Objects The NOOS environment is primarily intended to design end user interfaces to knowledge based applications.Broad coverage of application domains and user needs is required since expert system technology is applied in a growing variety of tasks ranging from diagnostics and configuration in process control to office systems and business applications.In order to achieve as much generality as possible a three layer architecture was engineered.Object oriented user interface management systems The top layer consists of a graphic tool for painting screens and positioning graphics widgets,such as buttons,scroll bars,bitmaps,gauges or other user in-terface components into application windows.The behavior of the latter graphics components is encoded in an object oriented procedural language(OOPL),support-ing inheritance and message passing,for controlling the interface and responding to user events.Widgets are represented internally as objects accessed by the OOPL. The application programmer uses the OOPL to specify the behavior of the user interface and its interactions with the separately built expert system application.The middle layer is a virtual graphic machine providing a defined set of drawing, windows and regions,as well as resource management routines to widget methods. All built-in widgets in NOOS rely on the virtual graphic machine to display and Received by the editors February14,1990.12JEAN-MARIE CHAUVETupdate their graphic appearance in response to user and application interactions. The widget programmer can extend the widget object database by using the virtual graphic machine library of calls to create additional widgets or subclass new widgets from existing ones.The lower layer is actually a set of driver libraries to implement the virtual graphics machine on top of standard operating systems and windowing environ-ments.The following systems are currently supported:VMS/UIS and DECWin-dows,UNIX/X Window,OS/2Presentation Manager,and Mac OS.The user interface is specified by painting the application windows and setting them up with the appropriate graphic widgets.Interactions between widgets,or between windows and the application are directly coded in the OOPL.Relevant entities of both the application and the user interface are stored in an object repos-itory around which the previously described layers are built.Knowledge based design and executionThe NOOS environment enables developers and end-users of knowledge-based systems to design customized,domain-specific interfaces to their systems.Knowl-edge is embedded into the NOOS environment at two different levels,serving two different purposes:design and execution of user interfaces.Design knowledge is encapsulated into the NOOS system for assisting in the design process.At any given point in the design phase three knowledge bases are active:(i)a user interface style rule base,(ii)a software objects manager rule base,and(iii)a system rule base.Design knowledge is represented as rules which conditions and actions process objects in the shared repository.The rules are encoded through a rule language(OORL),providing syntax constructs to express the latter conditions and actions.The user interface style rule base captures style guidelines for graphic interfaces to applications.A point in the user interface style problem space is defined by a structure of widget objects.This structure both describes relationships between widget objects(this button is in a frame used in this window),and defines the individual characteristics of the widgets(this list box has a vertical scroll bar only, and is editable).Functional specifications are expressed as constraints on the struc-ture,thus bounding the problem space to a subset of acceptable points.Rules in the knowledge base are used to elaborate a structure satisficing the functional con-straints.Elementary actions in the right hand sides of rule add,delete,or alter one or several widget objects in the current structure.The generic knowledge base can be enriched with application or task specific knowledge by editing the user interface style knowledge base.As a simple example of such rulesets,the following rule(expressed in OORL): (@RULE=TEditOutputSpec(@LHS=(Is(<|NOOS_TEdit|>.usage)("text-output")))(@HYPO=EditWidget)(@RHS=(Let(<|NOOS_TEdit|>.scrollable)(TRUE))(Let(<|NOOS_TEdit|>.editable)(FALSE)))KNOWLEDGE BASED MANAGEMENT OF SOFTW ARE OBJECTS3)states that text edit widgets used only for text output are by default scrollable and not editable.The NOOS_TEdit notation refers to a class that describes text edit widgets.This class,its subclasses,superclasses,and instances are all part of the user interface style knowledge base.The software objects knowledge base contains rules to design,select,and reuse objects in the NOOS environment.A point in the software objects problem space represents a set of software components with their encapsulated methods coded ei-ther in OOPL or in OORL.These software components both capture the dynamic behavior of the user interface under design,and its intended interactions with the application.The rule base prunes this problem space by suggesting software com-ponents to reuse,or redesign to implement the specifications of the user interface. The software objects rule base also keeps track of versions of software components being reused or redesigned.The following rule from the software objects knowledge base:(@RULE=TableEditor_Select(@LHS=(Is(Editor.EditeeStructure)("table","list"))(Yes(Editor.EditeeEdition))(Is(Editor.EditionMode)("modal"))(Is(Editor.EditionRestrictedOps)("none")))(@HYPO=SelectEditor)(@RHS=(LoadKB("TBL_b")(@LEVEL=ENABLE;))(CreateObject(’editor’\WidgetId\)(|TBLEdit|))(Do(WidgetId+1)(WidgetId))))suggests the use of a software component,namely a table editor,in response to constraints on the focus of the edition process,and the subject of the edition, expressed in its left hand side.The right hand side loads the table editor classes and attached methods,and creates an instance of the latter editor for use in the current interface under design.The system knowledge base contains rules representing the NOOS processes themselves.Each passive element of the NOOS environment,such as driver li-braries or the virtual graphic machine,is represented as an object in the shared repository.Object representation is also used to describe the NOOS active tools, such as the OOPL compiler and interpreter,the OORL inference engine,as well as underlying CASE tools that might be used to build methods in conventional programming languages,such as a C compiler,a Make utility,and other standard facilities.The rules express how the active tools apply to the passive elements in the NOOS environment to generate the target end user interface executable code. Preconditions to the application of an active tools are checked by left hand sides, while postconditions are asserted by right hand sides.The whole code generation process can thus be amended by editing the system knowledge base.The following subclass from the system knowledge base exemplifies the object-oriented description of the NOOS code generation processes:4JEAN-MARIE CHAUVET(@CLASS=OORL_InferenceRuntime(@PROPERTIES=FileNameIncludeFileLibraryOperatingSystemRuntimeDefFileSourceExtensionVersionWindowingEnvt))The previous class describes the OORL inference engine in its runtime version,for inclusion in the generated user interface.The default values,defined at the class level,are shown next:(@SLOT=OORL_InferenceEngine.FileName(@INITVAL="libnxpshr.a"))(@SLOT=OORL_InferenceEngine.IncludeFile(@INITVAL="nxpdef.h"))(@SLOT=OORL_InferenceEngine.Library(@INITVAL="shareable"))(@SLOT=OORL_InferenceEngine.OperatingSystem(@INITVAL="unix"))(@SLOT=OORL_InferenceEngine.SourceExtension(@INITVAL=".tkb,.ckb,.kb"))(@SLOT=OORL_InferenceEngine.Version(@INITVAL="1.2.0"))the system knowledge base rulesets capture how to use these objects in the code generation,and application building process.The previously described layers encapsulate design knowledge into NOOS.The environment,however,also provides facilities to embed domain or user specific knowledge to be applied at execution time.Two major benefits stem from this tighter integration:interfaces produced with the NOOS environment are themselves knowledge-based and can dynamically adapt to the user,and there is a seamless in-tegration of the interface and application for the expert system developer:interface objects and application objects have the same representation.KNOWLEDGE BASED MANAGEMENT OF SOFTW ARE OBJECTS5Shared Object RepositoryEntities relevant to both the target expert system and its user interface have the same representation and are stored in a common logical location in the NOOS environment:the Shared Object Repository.As mentioned in previous sections,objects for the user interface widgets,objects for the various software components of the user interface,as well as objects de-scribing the entire NOOS architecture are part of the design knowledge built-in the environment.The latter objects together with the domain or application specific objects are sharing the same representation and storage facility.The Shared Object Repository offers original facilities to handle such a variety of common objects for such different usages in the design and execution process.Objects as a common data structureIn reference to Tomlinson et al.[15]classification attempts of object-oriented systems,the Shared Object Repository organization and sharing protocols are dis-cussed.The underlying design consideration in the NOOS environment Shared Object Repository is that objects are common abstract data structures that map relevant entities from different applications.Tables and records in a database application, data structures in a conventional programming environment,graphic widgets in a user interface,3D geometrical shapes in a CAD/CAM program for instance are views on objects relevant to the processes running in their respective applications. The Shared Object Repository organisation and sharing protocols were designed to provide an object representation suited to a heterogeneous software environment: objects are considered as a common data structure on which both procedural and heuristic types of processing can be applied.Conventional class-based systems place constraints on object structure and re-strict the sharing relationships to groups of objects.Prototype-based systems,on the other hand,overcome the lack of expressiveness of purely class-based systems. Default or exceptional attribute values,and relationships that vary on a per-object basis are better handled by the latter systems[15].The Shared Object Repository is such a prototype-based system to accomodate the underlying dynamics of objects in expert sytems,or user interface environments.In the Shared Object Repository there is thus no distinction between an in-stance variable and a shared variable:any instance variable can serve as a shared variable for other objects.Objects are defined by reference to prototypical objects with which they share some properties.The prototype-based sharing protocol also enables attributes to be omitted,default values and methods to be provided for instance variables avoiding the”one-instance”problem.In addition the prototype-based sharing protocol offers opportunities for late binding to a higher degree than class-based mechanisms[15].As an example,version handling in the software ob-jects knowledge base required late binding in the OOPL object-oriented language [3].The second design consequence entailed by the heterogeneity of objects stored in the Shared Object Repository is that the message-passing system should pro-vide enoughflexibility to express widely different control structures as found in the OOPL,and the OORL.More specifically once the method for handling a message is located it is actually performed by the object in which the method was found,6JEAN-MARIE CHAUVETand not returned to the caller as it is in inheritance.The open architecture choices in the NOOS environment provide a substrate for coding such methods in conven-tional programming or database languages,OOPL,and OORL or a mix of these. Consequently delegation was implemented as an appropriate organization protocol for message passing[13].In the OOPL the”send”primitive(”¡-”symbol in OOPL syntax)accepts a target and a message represented as a list of components.Messages are either replies, conveying information back to an awaiting target object,or requests.Requests cause the target object to undertake the task specified by the message of delegate it to some other object.A request retains the client object on behalf of which the message is to be handled.As an example,consider the following OOPL fragment that updates a cursor location and accesses its horizontal and vertical coordinates for further processing:cursor<-IncrementBy:10And:25newH=cursor<-h newV=cursor<-vThis script offsets the position of a cursor by an amount of10,and25pixels respectively in the horizontal and vertical direction.An strictly inheritance-based implementation such as the following[12]:(@SCRIPT=cursor.IncrementBy_And_(self.h=self.h+IncrementByself.v=self.v+And))updates encapsulated properties cursor.h,and cursor.v.In contrast the following implementation:(@SCRIPT=cursor.IncrementBy_And(frame<-dHor:IncrementBy dVer:And))delegates the request to the frame object.From the caller viewpoint,however,the horizontal and vertical location of cursor have been updated correctly even though execution was delegated in the latter case.Each object defines the condition under which it will delegate and,in the case of multiple proxies,how it will choose among them.Again to exemplify theflexibility brought by the delegation mechanism of the Shared Object Repository,this modified script:(@SCRIPT=cursor.IncrementBy_And(mainwindow=cursor<-windowmainwindow<-FirstFrameDo:dHor_dVer With:IncrementBy))delegates the cursor update to thefirst frame attached to its enclosing window sorted in hierarchical inclusion order.The script uses the iterative message First-FrameDo to select the actual object to which the operation is to be delegated.Delegation and prototype-based protocols for sharing and organization are the key features of the Shared Object Repository view of objects as a common dataKNOWLEDGE BASED MANAGEMENT OF SOFTW ARE OBJECTS7structure.These implementation choices,in turn,enable the designer to specify the control structures for its target application in terms of integrated procedural and heuristic processing of objects.Cooperative processing of objectsThe NOOS environment provides procedural and heuristic approaches to be-havior specification for end-user interfaces.The procedural language implements the delegation-based organization protocol for the Shared Object Repository.The rule based language enables the designer to embed domain or application specific knowledge for execution of the user interface.In addition the target application being usually a knowledge-based application, the OORL can also be used to model the expert system for which the user interfaceis being designed.The latter expert system can in turn call OOPL programs to perform certain operations better expressed in a procedural language.In this respect,although there is a clear cut separation between user interface and application in the design phase and the delivered executable code,there is a strong consistency in the synctactic constructs used to model both the behavior of the user interface,and the knowledge processing of the application.The following rule from a process control application illustrates calling out to an OOPL program:(@RULE=Valve1_Control(@LHS=(>(tank1.pressure)(100))(>(DATE(evidence.ystamp,evidence.mstamp,evidence.dstamp)-NOW())(0))(Yes(Trend_Analysis)))(@HYPO=Alert1)(@RHS=(Execute("OOPL")(@ATOMID=tank1.close;))))its last right hand side action calls out the OOPL interpreter and sends the close message to the tank1object.It is actually similar to the following OOPL fragment: tank1<-closethe key point being that the object tank1is effectively a shared object between the application knowledge base and the OOPL program.If it also happens that the user interface displays this particular tank1,becauseit was specified that tank1is also an instance of a gauge widget for instance,then the OOPL close program might look like the following fragment:(@SCRIPT=tank1.close(self<-UpdateDisplayself.valve="closed"))8JEAN-MARIE CHAUVETwhere the UpdateDisplay is inherited from the gauge widget class.In this case tank1is also shared by the user interface where it is only viewed as graphic display of a gauge.Moreover the link from the tank1object to the graphic gauge widget class can be altered by the rule base or the OOPL scripts of the user interface.This additionalflexibility provides opportunities for dynamic interface reconfiguration. Without changing the previous OOPL program called from the knowledge base,a different display output can be obtained by reclassing tank1into another widget class as long as the latter provides an UpdateDisplay method.This operation can be performed from an OOPL program or from a rule.As mentioned earlier,domain specific knowledge embedded in the user inter-face behavior specification allows creation of knowledge based user interfaces.The delegation organization protocol of the Shared Object Repository provides a di-rect implementation of message passing between an OOPL-coded method and an OORL-coded behavior.When an OOPL program calls out to a knowledge base it actually delegates the operation to an object,named NXP,in the system knowledge base of NOOS that models the OORL inference engine.The following OOPL method:(@SCRIPT=gauge.click(self.ClickButton=click<-ButtonPressedNXP<-Knowcess))is called to handle a click in the graphic display of a gauge object.The method actually delegates processing of this event to the knowledge base by sending the Knowcess(”run”)message to the NXP object.The Knowcess method in turn starts the inference engine.Since objects are stored in the Shared Object Repository,the knowledge base directly accesses the gauge object if needed as is shown in this simple example rule:(@RULE=Operator_Gauge_Reset(@LHS=(Is(gauge.ClickButton)("left"))(Is(gauge.status)("alert")))(@HYPO=Operator_Reset)(@RHS=(Let(gauge.status)("offline"))))where thefirst condition in the left hand side directly tests a variable set by the calling OOPL method.The tight integration of the OOPL and the OORL on top of the Shared Object Repository emphasizes a cooperative processing approach to the problem of speci-fying the control structure of user interfaces,and knowledge based applications.KNOWLEDGE BASED MANAGEMENT OF SOFTW ARE OBJECTS9DiscussionThe main problem addressed by this research was to design knowledge represen-tations of entities and processes of software design considered as a problem-solving activity,and test the representations in a working implementation.There has been extensive research work undergoing on issues related to the problem of assisting the software engineering process[9].Although most of this work would probably fall under the label of Artificial Intelligence,some inspirational concepts clearly came from the graphics community.Software engineering appears as an ill-structured problem[10].Some studies were concerned with the understanding of software engineering methodologies in A.I.[6],but most of the research work is focused on knowledge representation schemes suitable for software engineering processes and constructs[9,1].The ap-proach chosen to address this problem was to consider software design as a prob-lem solving task.Following the classical problem-solving methodology of A.I.,the problem spaces relevant to software design were identified.Their respective states, operators,and rules were designed and represented as objects and rules.The essen-tial heterogeneity of the latter objects,considering the domain of user interfaces, called for a veryflexible object organization and processing capability.The Shared Object Repository with its OOPL,and OORL is an attempt to provide an appro-priate modeling framework to represent knowledge of software design.Furthermore this architecture allows to comine A.I.and CASE methodologies for representing the software design task.Another strong current of research in A.I.and software engineering is related to algorithm design[2],and understanding of the programmer problem solving activ-ities-notably the Programmer’s Apprentice project[8].The NOOS environment, in its current stage,has no built-in knowledge based capability for algorithm de-sign per se.The Shared Object Repository might,however,offer an appropriate knowledge representation for such developments.An active domain related to the work presented here is generally refferred to as object-oriented database developments.Actually,the Shared Object Repository can be viewed as an object-oriented database.As such it can be classified as a prototype-based,delegation-based object oriented system[15].Variations on the organization and sharing protocols are found in the various existing object-oriented systems.Prototype protocols are appropriate for handling the heterogeneity of relationships between objects which is essential to the problem space.Delegation protocols offer the best compromise for consistently integrating widely different con-trol mechanisms.In addition,the NOOS environment supports a fully integrated rule language for bringing knowledge to bear both in the design process itself and in the application execution at runtime.In this respect it is very close to systems like GARDEN[7],POGO[14],or Im-pulse86[11].Such development environments are instances of the wider category of User Interface Management Systems(UIMS).The cooperative processing of objects in the Shared Object Repository is an attempt to extend this notion of intelligent, or knowledge-based UIMSs towards the more promising concept of objects seen as common data structures between otherwise unrelated applications.10JEAN-MARIE CHAUVET1.References1.Arens,Y.,Miller,L.,Shapiro,S.C.,Sondheimer,N.K.Automatic Construc-tion of User-Interface Displays.In Proceedings of AAAI88(Saint Paul,Minnesota, August21-26,1988).Morgan Kaufmann Publishers,San Mateo,1988,pp808-814.2.Kant,E.,Understanding and Automating Algorithm Design.In Proceedings of IJCAI85(Los Angeles,California,August18-23,1985).Morgan Kaufmann Publishers,Los Altos,1985,pp1243-1254.3.Kim,W.,Ballou,N.,Chou,H.T.,Garza,J.F.,Woelk,D.Features of the ORION Object-Oriented Database.In Object-Oriented Concepts,Databases,and Applications(Edited by Kim,W.,Lochovsky,F.).ACM,New York,1989,pp 151-177.4.Lieberman,ing Prototypical Objects to Implement Shared Behavior in Object-Oriented Systems.In Proceedings OOPSLA1986,pp214-223.5.Moss,J.E.Object Orientation as Catalyst for Language-Database Integration. In Object-Oriented Concepts,Databases,and Applications(Edited by Kim,W., Lochovsky,F.).ACM,New York,1989,pp151-177.6.Partridge,D.Artificial Intelligence:Applications in the future of software engineering.Ellis Horwood,Chichester,England,1986.7.Reiss,S.An Object-Oriented Framework for Conceptual Programming.In Re-search Directions in Object-Oriented Programming(Edited by Shriver,B.,Wegner, P.).MIT Press,Cambridge,1987,pp165-189.8.Rich,C.The Layered Architecture of a System for Reasoning about Programs. In Proceedings of IJCAI85(Los Angeles,California,August18-23,1985).Morgan Kaufmann Publishers,Los Altos,1985,pp540-546.9.Selfridge,P.G.How to Print a File:An Expert System Approach to Software Knowledge Representation.In Proceedings of AAAI88(Saint Paul,Minnesota, August21-26,1988).Morgan Kaufmann Publishers,San Mateo,1988,pp380-387.10.Simon,H.A.Sciences of the Artificial,MIT Press,Cambridge,1982.11.Smith,R.,Barth,P.,Young,R.A Substrate for Object-Oriented Inter-face Design.In Research Directions in Object-Oriented Programming(Edited by Shriver,B.,Wegner,P.).MIT Press,Cambridge,1987,pp165-189.12.Snyder,A.Inheritance and the Development of Encapsulated Software Sys-tems.In Research Directions in Object-Oriented Programming(Edited by Shriver,B.,Wegner,P.).MIT Press,Cambridge,1987,pp165-189.13.Stein,L.A.,Lieberman,H.,Ungar,D.A Shared View of Sharing:The Treaty of Orlando.In Object-Oriented Concepts,Databases,and Applications(Edited by Kim,W.,Lochovsky,F.).ACM,New York,1989,pp151-177.14.Tarlton,M.A.,Tarlton,P.N.Pogo:A Declarative Representation System for Graphics.In Object-Oriented Concepts,Databases,and Applications(Edited by Kim,W.,Lochovsky,F.).ACM,New York,1989,pp151-177.15.Tomlinson,C.,Scheevel,M.,Kim,W.Sharing and Organization Protocols in Object-Oriented Systems.Journal of Object-Oriented Programming2,4(Nov/Dec 1989),25-36.Neuron Data,444High Street,Palo Alto,CAE-mail address:jmc@。

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