MUSTER

Author:

Coulin Chad1,Zowghi Didar2,Sahraoui Abd-El-Kader3

Affiliation:

1. University of Technology Sydney, Australia and LAAS CNRS, France

2. University of Technology Sydney, Australia

3. LAAS CNRS, France

Abstract

In this chapter they present a collaborative and situational tool called MUSTER, that has been specifically designed and developed for requirements elicitation workshops, and which utilizes, extends, and demonstrates a successful application of intelligent technologies for Computer Aided Software Engineering and Computer Aided Method Engineering. The primary objective of this tool is to improve the effectiveness and efficiency of the requirements elicitation process for software systems development, whilst addressing some of the common issues often encountered in practice through the integration of intelligent technologies. The tool also offers an example of how a group support system, coupled with artificial intelligence, can be applied to very practical activities and situations within the software development process.

Publisher

IGI Global

Reference43 articles.

1. Alderson, A. (1991). Meta-case Technology. European Symposium on Software Development Environments and CASE Technology, Konigswinter, Germany, June 17-19.

2. Alho, K., & Sulonen, R. (1998). Supporting Virtual Software Projects on the Web. Seventh IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE '98), Stanford, USA, June 17-19.

3. A.L.I.C.E. AI Foundation Inc. (2005). A.L.I.C.E. Retrieved 2005, from http://www.alicebot.org/

4. Atlantic Systems Guild (2003). Volere Requirements Specification Template.

5. Coulin, C. (2007). A Situational Approach and Intelligent Tool for Collaborative Requirements Elicitation. PhD Thesis, University of Technology Sydney & Paul Sabatier University, Australia.

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