A Review on Machine Learning Techniques to Predict the Reliability in Software Products-Reference-Cited by-同舟云学术

A Review on Machine Learning Techniques to Predict the Reliability in Software Products

Published:2022 Issue: Volume: Page:309-317
ISSN:2367-3370
Container-title:Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications
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Author:

Balaram A.,Vasundra S.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6407-6_28

Reference10 articles.

1. Quyoum A, Dar MD, Quadri SMK (2010) Improving software reliability using software engineering approach—a review. Int J Comput Appl Technol 105:41–47

2. Preethi W, BinuRajan MR (2016) Survey on different strategies for software reliability prediction. In: International conference on circuit, power, and computing technologies (ICCPCT)

3. Mittal S, Vetter JS (2015) A survey of techniques for modeling and improving the reliability of computing systems. IEEE Trans Parallel Distrib Syst 27:1226–1238

4. Sinha S, Goyal NK, Mall R (2019) Survey of combined hardware-software reliability prediction approaches from architectural and system failure viewpoint. Int J Syst Assur Eng Manage 1–22

5. Hsu CJ, Huang CY (2011) An adaptive reliability analysis using path testing for complex component-based software systems. IEEE Trans Reliab 60:158–170

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