Modeling and Selection of Interdependent Software Requirements Using Fuzzy Graphs

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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