Balogun, A. O.Mabayoje, M. A.Makinwa, M. O.Bajeh, A. O.2018-05-312018-05-312016http://hdl.handle.net/123456789/305The 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-USSoftware Engineering,Next Release Problem,Optimization,Multiobjectivity.Search Based Software Engineering,Variable Neighbourhood Search,Tabu Search,Article