Graph and Frequency-Based Fault Localization
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-22057-9_10
Reference5 articles.
1. Mousavian, Z., Vahidi-Asl, M., Parsa, S.: Scalable graph analyzing approach for software fault-localization. In: Proceedings of the 6th International Workshop on Automation of Software Test (2011)
2. Parsa, S., Arabi, S., Ebrahimi, N., Vahidi-Asl, M.: Finding discriminative weighted sub-graphs to identify software bugs. CCIS 70, pp. 305–309. Springer-Verlag Berlin Heidelberg (2010)
3. Parsa, S., Mousavian, Z., Vahidi-Asl, M.: Analyzing dynamic program graphs for software fault localization. In: 5th International Symposium on Telecommunications. Publisher, IEEE (2010)
4. Cheng, H., Lo, D., Zhou, Y.: Identifying bug signatures using discriminative graph mining. ISSTA’09, July 19–23 (2009)
5. Parsa, S., Arabi, S., Ebrahimi, N.: Software fault localization via mining execution graphs. In: ICCSA 2011. Part II, LNCS 6783, pp. 610–623 (2011)
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