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Software Release Planning Using Grey Wolf Optimizer

Software Release Planning Using Grey Wolf Optimizer
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Author(s): Vibha Verma (University of Delhi, India), Neha Neha (University of Delhi, India)and Anu G. Aggarwal (University of Delhi, India)
Copyright: 2022
Pages: 34
Source title: Research Anthology on Agile Software, Software Development, and Testing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-3702-5.ch026

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Abstract

This chapter presents the application of grey wolf optimizer in software release planning considering warranty based on the proposed mathematical model that measures reliability growth of software systems. Hence, optimal release and warranty time is determined while minimizing the overall software development cost. The software cost model is based on failure phenomenon modelled by incorporating fault removal efficiency, fault reduction factor, and error generation. The model has been validated on the fault dataset of ERP systems. Sensitivity analysis has been carried out to study the discrete changes in the cost parameter due to changes in optimal solution. The work significantly contributes to the literature by fulfilling gaps of reliability growth models, release problems considering warranty, and efficient ways for solving optimization problems. Further, the grey wolf optimizer result has been compared with genetic algorithm and particle swarm optimization techniques.

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