Abstract
Background: Software Product Line is the group of multiple software systems that share a similar set of features with multiple variants. Feature model is used to capture and organize features used in different multiple organizations.
Objective: The objective of this research article is to obtain an optimized subset of features capable of providing high performance.
Methods: In order to achieve the desired objective, two methods have been proposed; a) an improved objective function which is used to compute the contribution of each feature with weightbased methodology; and b) a hybrid model that is employed to optimize the Software Product Line problem.
Results: Feature sets varying in size from 100 to 1000 have been used to compute the performance of the Software Product Line.
Conclusion: The results show that the proposed hybrid model outperforms the state of art metaheuristic algorithms.
Keywords: Biogeography-based optimization, feature model, software product line, firefly algorithm, hybrid model, objective function.
Graphical Abstract
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