Solving the Next Release Problem using a Hybrid Metaheuristic
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Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Computers and Applied Computer Science Faculty in "Tibiscus" University of Timişoara, Romania.
Abstract
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.
Description
Keywords
Requirement Engineering, Next Release Problem, Metaheuristics, optimization
Citation
Balogun, 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. 101-116