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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 19.09.2019 by Miqing Li, Tao Chen, Xin Yao
This 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 - 20

Source

40th International Conference on Software Engineering (ICSE)

Publisher

ACM

Version

VoR (Version of Record)

Rights holder

© ACM

Publication date

2018-05-27

Copyright date

2018

ISBN

9781450356626

Language

en

Location

Gothenburg, Sweden

Event dates

27th May 2018 - 3rd June 2018

Depositor

Dr Tao Chen

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