Knowware-Based Software Engineering

Author:

Lu RuQian1,Jin Zhi2

Affiliation:

1. Chinese Academy of Sciences, China & Peking University, China

2. Peking University, China & Chinese Academy of Sciences, China

Abstract

The first part of this chapter reviews the origin of knowware-based software engineering. It originates from the authors' experiences in finding new techniques for knowledge-based software engineering while performing PROMIS, a continuing project series from the 1990s. The key point of PROMIS is to generate applications automatically by separating the development of domain knowledge from that of software architecture, with an important innovation of acquiring and summarizing domain knowledge automatically based on the pseudo-natural language understanding techniques. However, during PROMIS development, the authors did not find an appropriate form for the separated domain knowledge. The second part of the chapter briefly describes how the authors came to the concept of knowware. They stated that the essence of knowware is its capacity as a commercialized form of domain knowledge. It is also the third major component of IT after hardware and software. The third part of the chapter introduces the basic concepts of knowware and knowware engineering. Three life cycle models of knowware engineering and the design of corresponding knowware implementations are given. The fourth part of the chapter introduces object-oriented mixware engineering. In the fifth part of the chapter, two recent applications of knowware technique regarding smart room and Web search are reported. As a further development of PROMIS, the sixth part of the chapter discusses knowware-based redesign of its framework. In the seventh part of the chapter, the authors discuss automatic application generation and domain knowledge modeling on the J2EE platform, which combines techniques of PROMIS, knowware, and J2EE, and the development and deployment framework (i.e. PROMIS/KW**).

Publisher

IGI Global

Reference60 articles.

1. Bansal, S., & Vidal, J.-M. (2003). Matchmaking of Web services based on the DAML-S service model. In Proceedings of International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS’03) (pp.926—927). AAMAS.

2. Integration of agent-oriented conceptual models and UML activity diagrams using effect annotations.;M.Bhuiyan;Proceedings of,2007

3. Towards requirements-driven information systems engineering: the Tropos project

4. Chakraborty, A., et al. (2012). The role of requirement engineering in software development life cycle. Journal of emerging trends in computing and information sciences, 3 (5), 723-729.

5. Ding, L. (2005). A model of hierarchical knowledge representation—toward knowware for computing with words. In Proc. 6th International conference on intelligent technologies (pp.188-197). Academic Press.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3