Mougouei, Davoud 
ORCID: https://orcid.org/0000-0002-4271-9174 and Powers, David M. W.
(2017)
Modeling and Selection of Interdependent Software Requirements
Using Fuzzy Graphs.
International Journal of Fuzzy Systems, 19 (6).
pp. 1812-1828.
ISSN 1562-2479
Abstract
Software requirement selection is to find an optimal set of requirements that gives the highest value for a release of software while keeping the cost within the budget. However, value-related dependencies among software requirements may impact the value of an optimal set. Moreover, value-related dependencies can be of varying strengths. Hence, it is important to consider both the existence and the strengths of value-related dependencies during a requirement selection. The existing selection models, however, either assume that software requirements are independent or they ignore strengths of requirement dependencies. This paper presents a cost-value optimization model that considers the impacts of value-related requirement dependencies on the value of selected requirements (optimal set). We have exploited algebraic structure of fuzzy graphs for modeling value-related requirement dependencies and their strengths. Validity and practicality of the work are verified through carrying out several simulations and studying a real world software project.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | No Faculty |
| Faculty/School / Institute/Centre: | No Faculty |
| Date Deposited: | 03 Mar 2022 01:28 |
| Last Modified: | 26 Apr 2022 23:46 |
| Uncontrolled Keywords: | Dependency; Fuzzy; Requirement; Selection; Software |
| Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified |
| Identification Number or DOI: | https://doi.org/10.1007/s40815-017-0364-4 |
| URI: | http://eprints.usq.edu.au/id/eprint/46116 |
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