Balogun, Abdullateef OluwagbemigaMabayoje, Modinat AboloreMakinwa, Sayo MichaelBajeh, Amos Orenyi2018-05-232018-05-232016Balogun, 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. 101-1162065-7471http://hdl.handle.net/123456789/269The 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.enRequirement EngineeringNext Release ProblemMetaheuristicsoptimizationArticle