A Systematic Literature Review of Predicting Software Reliability Using Machine Learning Techniques-Reference-Cited by-同舟云学术

A Systematic Literature Review of Predicting Software Reliability Using Machine Learning Techniques

Published:2022 Issue: Volume: Page:77-90
ISSN:2522-8595
Container-title:Optimization of Automated Software Testing Using Meta-Heuristic Techniques
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Author:

Habtemariam Getachew Mekuria,Mohapatra Sudhir Kumar,Seid Hussien Worku,Mishra Deepti Bala

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07297-0_6

Reference23 articles.

1. Kitchenham, B., et al. (2009). Systematic literature reviews in software engineering – A systematic literature review. Information and Software Technology, 51(1), 7–15.

2. Jaiswal, A., & Malhotra, R. (2018). Software reliability prediction using machine learning techniques. International Journal of System Assurance Engineering and Management, 9(1), 230–244.

3. Kumar, P., & Singh, Y. (2012). An empirical study of software reliability prediction using machine learning techniques. International Journal of System Assurance Engineering and Management, 3(3), 194–208.

4. Srinivasan, K., & Fisher, D. (1995). Machine learning approaches to estimating software development effort. IEEE Transactions on Software Engineering, 21(2), 126–137.

5. Ali, A., Jawawi, D. N., Isa, M. A., & Babar, M. I. (2016). Technique for early reliability prediction of software components using behaviour models. PLoS One, 11(9).

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