Deep neural network based hybrid approach for software defect prediction using software metrics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/article/10.1007/s10586-018-1696-z/fulltext.html
Reference47 articles.
1. IEEE Standard Glossary of Software Engineering Terminology: In: IEEE Std 610.12-1990, 31 December 1990, pp. 1–84 ( 1990)
2. Ouriques, J.F.S., Cartaxo, E.G., Machado, P.D.L., Neto, F.G.O., Coutinho, A.E.V.B.: On the use of fault abstractions for assessing system test case prioritization techniques. In: Proceedings of the 1st Brazilian Symposium on Systematic and Automated Software Testing (SAST). ACM, New York, Article 7 (2016). https://doi.org/10.1145/2993288.2993295
3. Benediktsson, O., Dalcher, D., Thorbergsson, H.: Comparison of software development life cycles: a multiproject experiment. IEE Proc. Softw. 153(3), 87–101 (2006)
4. Hassan, M. M., Afzal, W., Blom, M., Lindström, B., Andler, S. F., Eldh, S.: Testability and software robustness: a systematic literature review. In: 2015 41st Euromicro Conference on Software Engineering and Advanced Applications, Funchal, pp. 341–348 (2015)
5. Tomaszewski, P., Håkansson, J., Grahn, H., Lundberg, L.: Statistical models vs. expert estimation for fault prediction in modified code—an industrial case study. J. Syst. Softw. 80, 1227–1238 (2007)
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