Software reliability prediction and optimization using machine learning algorithms: A review

Keywords:
Software Reliability, Quality, Intelligent Prediction, Machine LearningAbstract
Software reliability is an important part while evaluating software quality. Many challenges are faced while developing highly reliable software such as its usability, performance, service, and maintenance, etc. Prediction and optimization of reliability estimation procedure is performed by optimizing parameters of the model. Several traditional models are existing to evaluate the reliability of the model, but it is quite difficult to directly estimate optimal parameters. Therefore, researchers adopted intelligent prediction and optimization algorithms for software reliability check. But still there a lot of limitations that needed to be focused and solved. In this paper, a detailed study is presented for software reliability prediction using machine learning. The paper also presents an analytical analysis for software reliability prediction.
URN:NBN:sciencein.jist.2023.v11.457
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Copyright (c) 2022 Neha Yadav, Vibhash Yadav

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