A framework for requirements engineering method selection

Rashmi Jain, Mary VanLeer, Anithashree Chandrasekaran

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

There are many requirements engineering (RE) methods that assist in elicitation, analysis and management of requirements. Each providing benefits enabling teams to control the inefficiencies associated with the application of a 'one size fits all' process. In a time-to-market driven (or rapid) development environment the challenges of applying these methods to system requirements management is extremely complex. This paper provides a comparative analysis of some common RE methods based on the IEEE 1233 standard. IEEE 1233 was selected in presenting this methodology since it provides excellent guidance in developing requirements and as a result strengthens the most crucial aspects of the frontend of system development. In this paper, the authors have proposed a framework called 'Eff-REM QChar' (an effective RE method framework based on quality requirement characteristics) for selection of the RE method best suited for the development situation and environmental constraints.

Original languageEnglish
Pages (from-to)198-214
Number of pages17
JournalInternational Journal of Industrial and Systems Engineering
Volume8
Issue number2
DOIs
StatePublished - 1 Jul 2011

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Requirements engineering

Keywords

  • Requirements
  • Requirements engineering and management
  • Requirements traceability
  • System development

Cite this

Jain, Rashmi ; VanLeer, Mary ; Chandrasekaran, Anithashree. / A framework for requirements engineering method selection. In: International Journal of Industrial and Systems Engineering. 2011 ; Vol. 8, No. 2. pp. 198-214.
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A framework for requirements engineering method selection. / Jain, Rashmi; VanLeer, Mary; Chandrasekaran, Anithashree.

In: International Journal of Industrial and Systems Engineering, Vol. 8, No. 2, 01.07.2011, p. 198-214.

Research output: Contribution to journalArticleResearchpeer-review

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