Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

Title:Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line

Volume: 14 Issue: 9

Author(s): Hitesh Yadav*, Rita Chhikara and Charan Kumari

Affiliation:

• The NorthCap University, Gurgaon, India

Keywords: Biogeography-based optimization, feature model, software product line, firefly algorithm, hybrid model, objective function.

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.

Cite this article as:

Yadav Hitesh *, Chhikara Rita and Kumari Charan , Hybrid Model using Firefly and BBO for Feature Selection in Software Product Line, Recent Advances in Computer Science and Communications 2021; 14 (9) . https://dx.doi.org/10.2174/2666255813999200710132013