Background:
Software Product Line is the group of multiple software systems which share the similar set of
features with multiple variants. Feature model is used to capture and organize features used in different multiple
organization.
Objective:
The objective of this research article is to obtain an optimized subset of features which are 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 weight based methodology. b) A hybrid model 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 shows that proposed hybrid model outperforms the state of art metaheuristic algorithms.
