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.
| Original language | English |
|---|---|
| Pages (from-to) | 1812-1828 |
| Number of pages | 17 |
| Journal | International Journal of Fuzzy Systems |
| Volume | 19 |
| Issue number | 6 |
| Early online date | 3 Aug 2017 |
| DOIs | |
| Publication status | Published - Dec 2017 |
Keywords
- Dependency
- Fuzzy
- Requirement
- Selection
- Software