Abstract
The quality of the Requirements Engineering (RE) process plays a critical role in successfully developing software systems. Often, in software organizations, RE processes are assessed and improvements are applied to overcome their deficiency. However, such improvements may not yield desired results for two reasons. First, the assessed deficiency may be inaccurate because of ambiguities in measurement. Second, the improvements are not validated to ascertain their correctness to overcome the process deficiency. Therefore, a Requirements Engineering Process Improvement (REPI) exercise may fail to establish its purpose. A major shortfall in validating RE processes is the difficulty in representing process parameters in some cognitive form. We address this issue with an REPI framework that has both measurement and visual validation properties. The REPI validation method presented is empirically tested based on a case study in a large software organization. The results are promising towards considering this REPI validation method in practice by organizations.
Original language | English |
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Title of host publication | Proceedings of the 1st international workshop on requirements engineering visualization (REV 2006) |
Editors | Brian Berenbach, Chang Hwan, Peter Kim |
Place of Publication | United States |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Number of pages | 9 |
ISBN (Print) | 0769527116 |
DOIs | |
Publication status | Published - 2006 |
Event | 1st international workshop on requirements engineering visualization (REV 2006) - Minneapolis, MN Duration: 11 Sept 2006 → 15 Sept 2006 |
Workshop
Workshop | 1st international workshop on requirements engineering visualization (REV 2006) |
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City | Minneapolis, MN |
Period | 11/09/06 → 15/09/06 |
Bibliographical note
Copyright 2006 IEEE. Reprinted from Proceedings of the 1st international workshop on requirements engineering visualization (REV 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.Keywords
- RE process quality
- quality measures
- RE process improvement
- RE process improvement validation
- RE process visualization