SOLVING THE NEXT RELEASE PROBLEM USING A HYBRID METAHEURISTIC

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dc.contributor.authorBalogun, A. O.
dc.contributor.authorMabayoje, M. A.
dc.contributor.authorMakinwa, M. O.
dc.contributor.authorBajeh, A. O.
dc.date.accessioned2018-05-31T12:29:46Z
dc.date.available2018-05-31T12:29:46Z
dc.date.issued2016
dc.description.abstractThe Next Release Problem is characterized by the need to determine the features that are to be included in a particular software system to make up the next release. These features are to be selected, such that users’ demands and needs are satisfied as much as possible, given a limited resources, by ensuring that the available resources are used to develop the most important features first. This work applies a hybrid of Variable Neighbourhood Search (VNS) and Tabu Search (TS) for solving bi-objective NRP, using a cost-value model for requirements. Experiments showed the hybrid metaheuristics to produce a Pareto optimal set with a controllable dynamic number of options whose score and cost value range can be controlled via parameters that can be modified without a significant effect on execution time.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/305
dc.language.isoen_USen_US
dc.publisherTibiscus University, Romania.en_US
dc.relation.ispartofseries;14(2)
dc.subjectSoftware Engineering,en_US
dc.subjectNext Release Problem,en_US
dc.subjectOptimization,en_US
dc.subjectMultiobjectivity.en_US
dc.subjectSearch Based Software Engineering,en_US
dc.subjectVariable Neighbourhood Search,en_US
dc.subjectTabu Search,en_US
dc.titleSOLVING THE NEXT RELEASE PROBLEM USING A HYBRID METAHEURISTICen_US
dc.typeArticleen_US

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