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

Miqing Li, Tao Chen, Xin Yao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)
121 Downloads (Pure)

Abstract

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.

Original languageEnglish
Title of host publicationICSE-NIER 2018 Proceedings of the 2018 ACM/IEEE 40th International Conference on Software Engineering
Subtitle of host publicationNew Ideas and Emerging Results
PublisherAssociation for Computing Machinery (ACM)
Pages17-20
ISBN (Electronic)9781450356626
DOIs
Publication statusPublished - 27 May 2018
Event40th ACM/IEEE International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2018 - Gothenburg, Sweden
Duration: 30 May 20181 Jun 2018

Publication series

NameProceedings - International Conference on Software Engineering
ISSN (Print)0270-5257

Conference

Conference40th ACM/IEEE International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2018
Country/TerritorySweden
CityGothenburg
Period30/05/181/06/18

Keywords

  • Multiobjective optimisation
  • quality assessment
  • quality indicator selection
  • search-based software engineering

ASJC Scopus subject areas

  • Software

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