Multi-attribute dependent bug severity and fix time prediction modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/content/pdf/10.1007/s13198-019-00888-5.pdf
Reference35 articles.
1. Abdelmoez W, Kholief M, Elsalmy FM (2012) Bug fix time prediction model using naıve bayes classifier. In: 2012 22nd international conference on computer theory and applications (ICCTA). IEEE, pp 167–172
2. Akbarinasaji S, Caglayan B, Bener A (2018) Predicting bug-fixing time: a replication study using an open source software project. J Syst Softw 136:173–186
3. Anbalagan P, Vouk M (2009) On predicting the time taken to correct bug reports in open source projects. In: IEEE international conference on software maintenance, 2009. ICSM 2009. IEEE, pp 523–526
4. Bhattacharya P, Neamtiu I (2011) Bug-fix time prediction models: can we do better? In: Proceedings of the 8th working conference on mining software repositories. ACM, pp 207–210
5. Chaturvedi K, Singh V (2012) An empirical comparison of machine learning techniques in predicting the bug severity of open and closed source projects. Int J Open Source Softw Process (IJOSSP) 4(2):32–59
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