SIP: Optimal Product Selection from Feature Models using Many-Objective Evolutionary Optimisation
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 029-119415-5152
- Type
- D - Journal article
- DOI
-
10.1145/2897760
- Title of journal
- Acm Transactions On Software Engineering And Methodology
- Article number
- 17
- First page
- -
- Volume
- 25
- Issue
- 2
- ISSN
- 1557-7392
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- URL
-
https://bura.brunel.ac.uk/handle/2438/12199
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
2 - Software, Systems & Security (SSS)
- Citation count
- 50
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work, for the first time, proposed a purely search based method for the highly challenging problem of optimal product selection. The authors were invited to present it as a journal-first paper at two top software engineering conferences: the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE-2016) and at the 39th International Conference on Software Engineering (ICSE-2017). Furthermore, the article is the most cited paper among all the papers published in this leading journal since its publication in 2016 according to WoS.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
