Quantitative metrics for mutation testing

Amani Ayad, Imen Marsit, Jimeng Loh, Mohamed Nazih Omri, Ali Mili

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

1 Scopus citations

Abstract

Mutant generation is the process of generating several variations of a base program by applying elementary modifications to its source code. Mutants are useful only to the extent that they are semantically distinct from the base program; the problem of identifying and weeding out equivalent mutants is an enduring issue in mutation testing. In this paper we take a quantitative approach to this problem where we do not focus on identifying equivalent mutants, but rather on gathering quantitative information about them.

Original languageEnglish (US)
Title of host publicationICSOFT 2019 - Proceedings of the 14th International Conference on Software Technologies
EditorsMarten van Sinderen, Leszek Maciaszek, Leszek Maciaszek
PublisherSciTePress
Pages49-59
Number of pages11
ISBN (Electronic)9789897583797
StatePublished - Jan 1 2019
Event14th International Conference on Software Technologies, ICSOFT 2019 - Prague, Czech Republic
Duration: Jul 26 2019Jul 28 2019

Publication series

NameICSOFT 2019 - Proceedings of the 14th International Conference on Software Technologies

Conference

Conference14th International Conference on Software Technologies, ICSOFT 2019
Country/TerritoryCzech Republic
CityPrague
Period7/26/197/28/19

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Software

Keywords

  • Equivalent mutants
  • Mutation score
  • Mutation testing
  • Redundant mutants
  • Software metrics

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