A fuzzy-based requirement selection method for considering value dependencies in software release planning
Paper
Paper/Presentation Title | A fuzzy-based requirement selection method for considering value dependencies in software release planning |
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Presentation Type | Paper |
Authors | Mougouei, Davoud (Author), Ghose, Aditya (Author), Dam, Hoa (Author), Fahmideh, Mahdi (Author) and Powers, David (Author) |
Journal or Proceedings Title | Proceedings of the 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) |
Number of Pages | 6 |
Year | 2021 |
Place of Publication | United States |
Digital Object Identifier (DOI) | https://doi.org/10.1109/FUZZ45933.2021.9494422 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9494422 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/9494373/proceeding |
Conference/Event | 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) |
Event Details | Rank A A A A A A |
Event Details | 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021) Event Date 11 to end of 14 Jul 2021 Event Location Luxembourg |
Abstract | Requirement selection is an essential component of software release planning, which finds, for a given budget, an optimal subset of the requirements with the highest value. However, due to the dependencies among software requirements, selecting or ignoring a requirement may impact the values of others. But such Value Dependencies are imprecise and hard to capture; they have been ignored by the existing requirement selection methods, increasing the risk of value loss in software projects. To address this, we have proposed a fuzzy-based optimization method with two main components: (i) a fuzzy-based technique for modelling value dependencies and capturing their imprecision, and (ii) an Integer Linear Programming (ILP) model that takes into account value dependencies in software requirement selection. The scalability and effectiveness of the method in mitigating value loss are demonstrated through simulations. |
Keywords | requirement selection; value dependencies |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460204. Fuzzy computation |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Wollongong |
Flinders University | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q6yy6/a-fuzzy-based-requirement-selection-method-for-considering-value-dependencies-in-software-release-planning
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