Browsing by Author "Makinwa, Sayo Michael"

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    Solving the Next Release Problem using a Hybrid Metaheuristic
    (Computers and Applied Computer Science Faculty in "Tibiscus" University of Timişoara, Romania., 2016) Balogun, Abdullateef Oluwagbemiga; Mabayoje, Modinat Abolore; Makinwa, Sayo Michael; Bajeh, Amos Orenyi
    The 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.