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A critical review of: "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": essay on quality indicator selection for SBSE
conference contribution
posted on 2019-09-19, 15:32 authored by Miqing Li, Tao Chen, Xin YaoThis paper presents a critical review of the work published at ICSE'2016 on a practical guide of quality indicator selection for assessing multiobjective solution sets in search-based software engineering (SBSE). This review has two goals. First, we aim at explaining why we disagree with the work at ICSE'2016 and why the reasons behind this disagreement are important to the SBSE community. Second, we aim at providing a more clarified guide of quality indicator selection, serving as a new direction on this particular topic for the SBSE community. In particular, we argue that it does matter which quality indicator to select, whatever in the same quality category or across different categories. This claim is based upon the fundamental goal of multiobjective optimisation --- supplying the decision-maker a set of solutions which are the most consistent with their preferences.
Funding
DAASE Programme Grant from the EPSRC (Grant No. EP/J017515/1)
History
School
- Science
Department
- Computer Science
Published in
Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER '18)Pages
17 - 20Source
40th International Conference on Software Engineering (ICSE)Publisher
ACMVersion
- VoR (Version of Record)
Rights holder
© ACMPublication date
2018-05-27Copyright date
2018ISBN
9781450356626Language
- en
Location
Gothenburg, SwedenEvent dates
27th May 2018 - 3rd June 2018Depositor
Dr Tao ChenUsage metrics
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