Solving the Next Release Problem using a Hybrid Metaheuristic

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dc.contributor.authorBalogun, Abdullateef Oluwagbemiga
dc.contributor.authorMabayoje, Modinat Abolore
dc.contributor.authorMakinwa, Sayo Michael
dc.contributor.authorBajeh, Amos Orenyi
dc.date.accessioned2018-05-23T10:43:08Z
dc.date.available2018-05-23T10:43:08Z
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.citationBalogun, A. O., Mabayoje, M. A., Makinwa, O. M., & Bajeh, A. O. (2016): Solving Next Release Problen using Hybrid Metaheuristic. Annals Computer Science Series 14th Tome 2nd , Fascicle- 2016 Paper 14-2-15. 101-116en_US
dc.identifier.issn2065-7471
dc.identifier.urihttp://hdl.handle.net/123456789/269
dc.language.isoenen_US
dc.publisherComputers and Applied Computer Science Faculty in "Tibiscus" University of Timişoara, Romania.en_US
dc.relation.ispartofseriesVolume: 14;Issue: 2
dc.subjectRequirement Engineeringen_US
dc.subjectNext Release Problemen_US
dc.subjectMetaheuristicsen_US
dc.subjectoptimizationen_US
dc.titleSolving the Next Release Problem using a Hybrid Metaheuristicen_US
dc.typeArticleen_US

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