A fuzzy-based requirement selection method for considering value dependencies in software release planning

Paper


Mougouei, Davoud, Ghose, Aditya, Dam, Hoa, Fahmideh, Mahdi and Powers, David. 2021. "A fuzzy-based requirement selection method for considering value dependencies in software release planning." 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021). Luxembourg 11 - 14 Jul 2021 United States. https://doi.org/10.1109/FUZZ45933.2021.9494422
Paper/Presentation Title

A fuzzy-based requirement selection method for considering value dependencies in software release planning

Presentation TypePaper
AuthorsMougouei, Davoud (Author), Ghose, Aditya (Author), Dam, Hoa (Author), Fahmideh, Mahdi (Author) and Powers, David (Author)
Journal or Proceedings TitleProceedings of the 30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)
Number of Pages6
Year2021
Place of PublicationUnited States
Digital Object Identifier (DOI)https://doi.org/10.1109/FUZZ45933.2021.9494422
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/9494422
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/9494373/proceeding
Conference/Event30th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021)
Event Details
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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.

Keywordsrequirement selection; value dependencies
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460204. Fuzzy computation
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Byline AffiliationsUniversity of Wollongong
Flinders University
Institution of OriginUniversity of Southern Queensland
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