Earticle

초록

영어

Prioritization And Selection (PAS) of requirements is an important concern of Agile software development. Existing PAS techniques are primarily binary selection of requirements and postponing lower-priority requirements to the future. As a result, lower-priority requirements may be constantly delayed until they never have a chance to be implemented at all. However, ignoring lower-priority requirements may threaten the quality of software. In this paper, we propose the concept of partial selection as an alternative to binary selection of Agile software requirements rather than ignoring them altogether or postponing them to the future releases. We further contribute a goal-oriented framework that allows requirements to be partially satisfied when tolerated. The framework specifies the fuzzy priority of requirements and accomplishes partial selection through relaxing the satisfaction level of requirements with respect to their priority in the release backlog of software. The experimental results show that partial selection of requirements will reduce the number of neglected requirements when compared to binary selection.

목차

Abstract
 1. Introduction
 2. The Running Example
 3. The PAPS Framework
  3.1. The Prioritization Process
  3.2. Partial Selection
 4. Evaluation
 5. Conclusions and Future Work
 References

키워드

저자

• Davoud Mougouei [ School of Computer Science, Engineering and Mathematics Flinders University, Adelaide, Australia ]
• Haifeng Shen [ School of Computer Science, Engineering and Mathematics Flinders University, Adelaide, Australia ]
• Muhammad Ali Babar [ School of Computer Science, University of Adelaide, Adelaide, Australia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605