Challenges of Operationalizing Spectrum-Based Fault Localization from a Data-Centric Perspective

Mojdeh Golagha, Alexander Pretschner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Fault localization is known to be tedious and expensive. To help practitioners reduce the needed effort, researchers have proposed many automated fault localization techniques over recent years. Spectrum-based fault localization techniques utilize the coverage data of test cases to localize faults. Although evaluations of these techniques show promising results, they are not being applied in practice yet. With this paper, we would like to stimulate discussions on challenges of operationalizing these techniques from a data-centric point of view. We describe the challenges we have encountered in our collaboration with industry. We also describe future plans.

Original languageEnglish
Title of host publicationProceedings - 10th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages379-381
Number of pages3
ISBN (Electronic)9781509066766
DOIs
StatePublished - 13 Apr 2017
Event10th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2017 - Tokyo, Japan
Duration: 13 Mar 201717 Mar 2017

Publication series

NameProceedings - 10th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2017

Conference

Conference10th IEEE International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2017
Country/TerritoryJapan
CityTokyo
Period13/03/1717/03/17

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