One Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applications

DC FieldValueLanguage
dc.contributor.authorAyala-Rivera, Vanessa-
dc.contributor.authorKaczmarski, Maciej-
dc.contributor.authorMurphy, John-
dc.contributor.authorDarisa, Amarendra-
dc.contributor.authorPortillo-Dominguez, A. Omar-
dc.date.accessioned2019-04-16T07:45:59Z-
dc.date.available2019-04-16T07:45:59Z-
dc.date.copyright2018 ACMen_US
dc.date.issued2018-04-13-
dc.identifier.isbn978-1-4503-5095-2-
dc.identifier.urihttp://hdl.handle.net/10197/9960-
dc.description9th ACM/SPEC International Conference on Performance Engineering (ICPE 2018), Berlin, Germany, April 9-13 2018en_US
dc.description.abstractCarrying out proper performance testing is considerably challenging .In particular, the identification of performance issues, as well as their root causes, is a time-consuming and complex process which typically requires several iterations of tests (as this type of issue scan depend on the input workloads), and heavily relies on human expert knowledge. To improve this process, this paper presents an automated approach (that extends some of our previous work) to dynamically adapt the workload (used by a performance testing tool) during the test runs. As a result, the performance issues of the tested application can be revealed more quickly; hence, identifying them with less effort and expertise. Our experimental evaluation has assessed the accuracy of the proposed approach and the time savings that it brings to testers. The results have demonstrated the benefits of the approach by achieving a significant decrease in the time invested in performance testing (without compromising the accuracy of the test results), while introducing a low overhead in the testing environment.en_US
dc.description.sponsorshipEuropean Commission - European Regional Development Funden_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.ispartofICPE '18 Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineeringen_US
dc.rights© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ICPE '18 Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering (2018) http://doi.acm.org/10.1145/10.1145/3184407.3184418en_US
dc.subjectPerformanceen_US
dc.subjectTestingen_US
dc.subjectWorkloaden_US
dc.subjectAnalysisen_US
dc.subjectAutomationen_US
dc.titleOne Size Does Not Fit All: In-Test Workload Adaptation for Performance Testing of Enterprise Applicationsen_US
dc.typeConference Publicationen_US
dc.internal.authorcontactotherandres.portillodominguez@ucd.ieen_US
dc.internal.webversionshttps://icpe2018.spec.org/-
dc.statusPeer revieweden_US
dc.identifier.doi10.1145/3184407.3184418-
dc.neeo.contributorAyala-Rivera|Vanessa|aut|-
dc.neeo.contributorKaczmarski|Maciej|aut|-
dc.neeo.contributorMurphy|John|aut|-
dc.neeo.contributorDarisa|Amarendra|aut|-
dc.neeo.contributorPortillo-Dominguez|A. Omar|aut|-
dc.internal.rmsid918896161-
dc.date.updated2018-04-16T12:27:37Z-
dc.identifier.grantid13/RC/2094-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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