An Effective Approach for Routing the Bug Reports to the Right Fixers
Author:
Affiliation:
1. State Key Laboratory for Novel Software Technology, Nanjing University, China
2. Department of Electrical Engineering and Computer Science, Case Western Reserve University, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3275219.3275228
Reference37 articles.
1. Who should fix this bug?
2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).
3. Fine-grained incremental learning and multi-feature tossing graphs to improve bug triaging
4. Chih-Chung Chang and Chih-Jen Lin. 2011. LIBSVM: a library for support vector machines. ACM transactions on intelligent systems and technology (TIST) 2 3 (2011) 27. 10.1145/1961189.1961199 Chih-Chung Chang and Chih-Jen Lin. 2011. LIBSVM: a library for support vector machines. ACM transactions on intelligent systems and technology (TIST) 2 3 (2011) 27. 10.1145/1961189.1961199
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