Application of an Effective Fault Localization Prioritization Method to Stereo Matching Software
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8450-3_44
Reference10 articles.
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2. Fu, W., Yu, H., Fan, G., Ji, X.: Test case prioritization approach to improving the effectiveness of fault localization. In: 2016 International Conference on Software Analysis, pp. 60–65. Testing and Evolution (SATE), Kunming (2016). https://doi.org/10.1109/SATE.2016.17
3. Zhang, X., Towey, D., Chen, T.Y., Zheng, Z., Cai, K.: Using partition information to prioritize test cases for fault localization. In: IEEE 39th Annual Computer Software and Applications Conference, Taichung, pp. 121–126. IEEE Press (2015). https://doi.org/10.1109/COMPSAC.2015.35
4. Zhang, X., Towey, D., Chen, T.Y., Zheng, Z., Cai, K.: A random and coverage-based approach for fault localization prioritization. In: Chinese Control and Decision Conference (CCDC), Yinchuan, pp. 3354–3361. IEEE Press (2016). https://doi.org/10.1109/CCDC.2016.7531562
5. Yoo, S., Harman, M., Clark, D.: Fault localization prioritization: comparing information-theoretic and coverage-based approaches. In: ACM Transactions on Software Engineering & Methodology, pp. 1–29. Association for Computing Machinery (2013). https://doi.org/10.1145/2491509.2491513
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