Sensitivity Analysis of Evolutionary Algorithm for Software Reusability

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dc.contributor.authorRathee, Amit
dc.contributor.authorChhabra, Jitender Kumar
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.date.accessioned2020-05-05T07:21:09Z
dc.date.available2020-05-05T07:21:09Z
dc.date.issued2019-06-24cs
dc.description.abstractFast and competitive software industry demands rapid development using Component Based Software Development (CBSD). CBSD is dependent on the availability of the high-quality reusable component libraries. Recently, evolutionary multi-objective optimization algorithms have been used to identify sets of reusable software components from the source-code of Object Oriented (OO) software, using different quality indicators (e.g. cohesion, coupling, etc.). Sometimes, these used quality indicators are quite sensitive towards the small variations in their values, although they should not be. Therefore, this paper analyzes the sensitivity of the evolutionary technique for three quality indicators used during the identification: Frequent Usage Pattern (FUP), Semantic and evolutionary coupling. The sensitivity analysis is performed on three widely used open-source OO software. The experimentation is performed by mutating the system to different degrees. Results of the empirical analysis indicate that the semantic parameter is most sensitive and important. Ignoring this feature highly degrades the quality; FUP relation is uniformly sensitive and evolutionary relations's sensitivity is non-uniform.en
dc.formattextcs
dc.format.extent31-38cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 25, č. 1, s. 31-38. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2019.1.031en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/186978
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/75cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectevolutionary algorithmen
dc.subjectoptimizationen
dc.subjectsoftware componenten
dc.subjectFUPen
dc.subjectsensitivityen
dc.subjectrobustnessen
dc.subjectCBSDen
dc.titleSensitivity Analysis of Evolutionary Algorithm for Software Reusabilityen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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