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GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem

  • Anita Ravi Tailor
  • Jayesh M. DhodiyaEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 949)

Abstract

Due to the quick growth of the modular software development, the commercial off-the-shelf (COTS) selection model of optimization technique becomes more popular in a component-based software system (CBSS). In order to realize the benefits of the COTS product, it is necessary to select the right products for various software systems. This paper proposed a genetic algorithm (GA)-based hybrid approach with fuzzy exponential membership function for best fit of COTS components. In this proposed approach, decision-maker (DM) is required to specify the different aspiration levels as per his/her preference to obtain an efficient allocation plan with different shape parameters in the exponential membership function. A real-world scenario of developing two financial applications for two small-scale industries is provided to represent the importance of the proposed algorithm with data set from a realistic situation.

Keywords

Intra-modular coupling density Multi-objective optimization Cohesion Coupling Genetic algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.S.V. National Institute of TechnologySuratIndia

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