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.
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References
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Tailor, A.R., Dhodiya, J.M. (2020). GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem. In: Venkata Rao, R., Taler, J. (eds) Advanced Engineering Optimization Through Intelligent Techniques. Advances in Intelligent Systems and Computing, vol 949. Springer, Singapore. https://doi.org/10.1007/978-981-13-8196-6_8
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DOI: https://doi.org/10.1007/978-981-13-8196-6_8
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