Feature Selection Optimization of HealthCare Software Product Line using BBO

The Software Product Line (SPL) is the mandatory requirement of software industry as SPL minimizes the use of resources, reduces the cost of the system and maximizes the possibility of achieving the objective. The challenge with SPL is that it is exponential to number of features, hence there arises...

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Bibliographic Details
Published in:Procedia computer science 2020, Vol.167, p.1696-1704
Main Authors: Hitesh, Chhikara, Rita, Kumari, A. Charan
Format: Article
Language:English
Subjects:
Biogeography based optimization(BBO)
Feature Model(FM)
Genetic Algorithm(GA)
Software Product Line
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Summary:The Software Product Line (SPL) is the mandatory requirement of software industry as SPL minimizes the use of resources, reduces the cost of the system and maximizes the possibility of achieving the objective. The challenge with SPL is that it is exponential to number of features, hence there arises need to optimize the system. The metaheuristic algorithm provides this opportunity of optimize the SPL system. This paper presents BBO algorithm which is used for optimizing feature selection problem in SPL. Further, an empirical study against 10 features model has been done and compare results with Genetic Algorithm (GA).It is noticed that BBO provides best feature subsets for SPL.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2020.03.380