Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs-Reference-Cited by-同舟云学术

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Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs

Published:2010 Issue: Volume: Page:425-441
ISSN:0302-9743
Container-title:Machine Learning and Knowledge Discovery in Databases
language:
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Author:

Eichinger Frank,Krogmann Klaus,Klug Roland,Böhm Klemens

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15880-3_33.pdf

Reference26 articles.

1. Asuncion, A., Newman, D.J.: UC Irvine Machine-Learning Repository, http://archive.ics.uci.edu/ml/

2. Ayewah, N., Hovemeyer, D., Morgenthaler, J.D., Penix, J., Pugh, W.: Using Static Analysis to Find Bugs. IEEE Softw. 25(5), 22–29 (2008)

3. Cheng, H., Lo, D., Zhou, Y., Wang, X., Yan, X.: Identifying Bug Signatures Using Discriminative Graph Mining. In: Proc. Int. Symposium on Software Testing and Analysis, ISSTA (2009)

4. Dallmeier, V., Zimmermann, T.: Extraction of Bug Localization Benchmarks from History. In: Proc. Int. Conf. on Automated Software Engineering, ASE (2007)

5. Di Fatta, G., Leue, S., Stegantova, E.: Discriminative Pattern Mining in Software Fault Detection. In: Proc. Int. Workshop on Software Quality Assurance (2006)

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