Resource allocation modeling framework to refactor software design smells

dc.contributor.authorGupta, Priyanka
dc.contributor.authorAnand, Adarsh
dc.contributor.authorMellal, Mohamed Arezki
dc.date.accessioned2023-03-07T07:42:04Z
dc.date.available2023-03-07T07:42:04Z
dc.date.issued2023
dc.description.abstractThe domain to study design flaws in the software environment has created enough opportunity for the researchers. These design flaws i.e., code smells, were seen hindering the quality aspects of the software in many ways. Once detected, the segment of the software which was found to be infected with such a flaw has to be passed through some refactoring steps in order to remove it. To know about their working phenomenon in a better way, authors have innovatively talked about the smell detection mechanism using the NHPP modeling framework. Further the authors have also chosen to investigate about the amount of resources/efforts which should be allotted to various code smell categories. The authors have developed an optimization problem for the said purpose which is being validated on the real-life smell data set belonging to an open-source software system. The obtained results are in acceptable range and are justifying the applicability of the modelen_US
dc.identifier.issn24557749
dc.identifier.uriDOI: 10.33889/IJMEMS.2023.8.2.013
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/11137
dc.language.isoenen_US
dc.relation.ispartofseriesInternational Journal of Mathematical, Engineering and Management Sciences/ Vol. 8, N°2 (2023);pp. 213-229
dc.subjectCode smellsen_US
dc.subjectNHPP modeling frameworken_US
dc.subjectRefactoring processen_US
dc.subjectResource allocation optimization problemen_US
dc.titleResource allocation modeling framework to refactor software design smellsen_US
dc.typeArticleen_US

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