MUSTER: A Situational Tool for Requirements Elicitation

MUSTER: A Situational Tool for Requirements Elicitation

Chad Coulin, Didar Zowghi, Abd-El-Kader Sahraoui
DOI: 10.4018/978-1-61350-456-7.ch308
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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.
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Background

Computer Aided Software Engineering (CASE) tools support one or more techniques within a software development method (Jarzabek & Huang, 1998). These tools are attractive to use during activities such as design, coding, testing, and validation, mainly because of their potential to provide substantial gains in quality, productivity, management, and communication (Hoffer, George & Valacich, 2002). Furthermore, CASE tools have been found to be efficient in both research and practice for recording, retrieving, and manipulating system specifications (Pohl et al., 1994), partly by automating some aspects of the system development.

Computer Aided Method Engineering (CAME) tools support the construction and management of adaptable methods (Saeki, Tsuchida & Nishiue, 2000). These tools are useful in automating part of the process of engineering a method, to conduct one or more of the various system development activities, by reusing parts of existing methods (Saeki, 2003). In addition, CAME tools have shown to be successful in providing the appropriate amount of process guidance, based on the specific needs of software development problems and projects (Dahanayake, 1998).

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