An empirical study on the effect of community smells on bug prediction
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
http://link.springer.com/content/pdf/10.1007/s11219-020-09538-7.pdf
Reference61 articles.
1. Almarimi, N., Ouni, A., Chouchen, M., Saidani, I., & Mkaouer, M. W. (2020a) On the detection of community smells using genetic programming-based ensemble classifier chain. In: 15th IEEE/ACM International Conference on Global Software Engineering (ICGSE), pp 1-12.
2. Almarimi, N., Ouni, A., & Mkaouer, M. W. (2020b). Learning to detect community smells in open source software projects. Knowledge-Based Systems,204, 106201.
3. Arcoverde, R., Garcia, A., & Figueiredo, E. (2011) Understanding the longevity of code smells: preliminary results of an explanatory survey. In: Proceedings of the 4th Workshop on Refactoring Tools, ACM, pp 33-36.
4. Bell, R. M., Ostrand, T. J., & Weyuker, E. J. (2013). The limited impact of individual developer data on software defect prediction. Empirical Software Engineering, 18(3), 478–505.
5. Bird, C., Nagappan, N., Gall, H., Murphy, B., Devanbu, P. (2009) Putting it all together: Using socio-technical networks to predict failures. In: Software Reliability Engineering, 2009. ISSRE-09. 20th International Symposium on, IEEE, pp 109-119.
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