An empirical study of ensemble techniques for software fault prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01935-6.pdf
Reference121 articles.
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4. Hall T, Beecham S, Bowes D, Gray D, Counsell S (2012) A systematic literature review on fault prediction performance in software engineering. IEEE Trans Softw Eng 38(6):1276–1304
5. Kamei Y, Shihab E (2016) Defect prediction: Accomplishments and future challenges. In: 2016 IEEE 23rd international conference on software analysis, evolution, and reengineering (SANER), vol 5. IEEE, pp 33–45
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