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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21921
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dc.contributor.authorEpitropakis, Michaelen_UK
dc.contributor.authorYoo, Shinen_UK
dc.contributor.authorHarman, Marken_UK
dc.contributor.authorBurke, Edmunden_UK
dc.date.accessioned2016-12-03T00:54:31Z-
dc.date.available2016-12-03T00:54:31Z-
dc.date.issued2015en_UK
dc.identifier.urihttp://hdl.handle.net/1893/21921-
dc.description.abstractThe aim of test case prioritisation is to determine an ordering of test cases that maximises the likelihood of early fault revelation. Previous prioritisation techniques have tended to be single objective, for which the additional greedy algorithm is the current state-of-the-art. Unlike test suite minimisation, multi objective test case prioritisation has not been thoroughly evaluated. This paper presents an extensive empirical study of the effectiveness of multi objective test case prioritisation, evaluating it on multiple versions of five widely-used benchmark programs and a much larger real world system of over 1 million lines of code. The paper also presents a lossless coverage compaction algorithm that dramatically scales the performance of all algorithms studied by between 2 and 4 orders of magnitude, making prioritisation practical for even very demanding problems.en_UK
dc.language.isoenen_UK
dc.publisherACMen_UK
dc.relationEpitropakis M, Yoo S, Harman M & Burke E (2015) Empirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisation. In: International Symposium on Software Testing and Analysis (ISSTA'15). International Symposium on Software Testing and Analysis (ISSTA'15), Baltimore, MD, USA, 12.07.2015-17.07.2015. New York, NY, USA: ACM, pp. 234-245. https://doi.org/10.1145/2771783.2771788en_UK
dc.rightsCopyright is held by author. Published in ISSTA’15 , July 13–17, 2015, Baltimore, MD, USA. ACM 978-1-4503-3620-8/15/07en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_UK
dc.subjectadditional greedy algorithmen_UK
dc.subjectcoverage compactionen_UK
dc.subjectmulti-objective evolutionary algorithmen_UK
dc.subjectTest case prioritizationen_UK
dc.titleEmpirical Evaluation of Pareto Efficient Multi-objective Regression Test Case Prioritisationen_UK
dc.typeConference Paperen_UK
dc.identifier.doi10.1145/2771783.2771788en_UK
dc.citation.spage234en_UK
dc.citation.epage245en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.author.emailmge@cs.stir.ac.uken_UK
dc.citation.btitleInternational Symposium on Software Testing and Analysis (ISSTA'15)en_UK
dc.citation.conferencedates2015-07-12 - 2015-07-17en_UK
dc.citation.conferencelocationBaltimore, MD, USAen_UK
dc.citation.conferencenameInternational Symposium on Software Testing and Analysis (ISSTA'15)en_UK
dc.citation.date31/07/2015en_UK
dc.citation.isbn978-1-4503-3620-8en_UK
dc.publisher.addressNew York, NY, USAen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationUniversity College Londonen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.identifier.scopusid2-s2.0-84975760228en_UK
dc.identifier.wtid597683en_UK
dcterms.dateAccepted2015-07-31en_UK
dc.date.filedepositdate2015-06-19en_UK
dc.relation.funderprojectDAASE: Dynamic Adaptive Automated Software Engineeringen_UK
dc.relation.funderrefEP/J017515/1en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorEpitropakis, Michael|en_UK
local.rioxx.authorYoo, Shin|en_UK
local.rioxx.authorHarman, Mark|en_UK
local.rioxx.authorBurke, Edmund|en_UK
local.rioxx.projectEP/J017515/1|Engineering and Physical Sciences Research Council|http://dx.doi.org/10.13039/501100000266en_UK
local.rioxx.freetoreaddate2015-07-31en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2015-07-31en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-sa/4.0/|2015-07-31|en_UK
local.rioxx.filenameit.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-1-4503-3620-8en_UK
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