CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
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Hanghang Tong | Yu Wang | Yun Li | Ziye Zhu | Hanghang Tong | Yun Li | Yu Wang | Ziye Zhu
[1] Ayse Basar Bener,et al. On the relative value of cross-company and within-company data for defect prediction , 2009, Empirical Software Engineering.
[2] Jeffrey S. Foster,et al. Understanding source code evolution using abstract syntax tree matching , 2005, MSR.
[3] Jose M. Such,et al. International Joint Conference on Artificial Intelligence (IJCAI) , 2016 .
[4] Andreas Zeller,et al. Where Should We Fix This Bug? A Two-Phase Recommendation Model , 2013, IEEE Transactions on Software Engineering.
[5] Automated Software Engineering , 2018, 2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE).
[6] Chanchal Kumar Roy,et al. Improving IR-based bug localization with context-aware query reformulation , 2018, ESEC/SIGSOFT FSE.
[7] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[8] Linmei Hu,et al. Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification , 2019, EMNLP.
[9] Xindong Wu,et al. Proceedings of the 10th IEEE International Conference on Data Mining (ICDM) , 2010 .
[10] Dong Liu,et al. Unsupervised Deep Bug Report Summarization , 2018, 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC).
[11] Proceedings of the 26th Conference on Program Comprehension , 2018, ICPC.
[12] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[13] Ming Li,et al. Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code , 2017, IJCAI.
[14] Peter Tino,et al. IEEE Transactions on Neural Networks , 2009 .
[15] Zhi-Hua Zhou,et al. Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code , 2016, IJCAI.
[16] Ye Yang,et al. An investigation on the feasibility of cross-project defect prediction , 2012, Automated Software Engineering.
[17] François Laviolette,et al. Domain-Adversarial Training of Neural Networks , 2015, J. Mach. Learn. Res..
[18] Harald C. Gall,et al. Cross-project defect prediction: a large scale experiment on data vs. domain vs. process , 2009, ESEC/SIGSOFT FSE.
[19] Miltiadis Allamanis,et al. Proceedings of the 22Nd ACM SIGSOFT International Symposium on Foundations of Software Engineering , 2014 .
[20] Carl Vogel,et al. Proceedings of the 16th International Conference on Computational Linguistics , 1996, COLING 1996.
[21] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[22] Zhiyuan Liu,et al. Adversarial Multi-lingual Neural Relation Extraction , 2018, COLING.
[23] David Budgen,et al. Empirical Software Engineering , 2014, Computing Handbook, 3rd ed..
[24] David Lo,et al. Deep Transfer Bug Localization , 2019, IEEE Transactions on Software Engineering.
[25] L. Carvajal,et al. IEEE Transactions on Software Engineering , 2016 .
[26] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[27] Ali Selamat,et al. Information and Software Technology , 2014 .
[28] Sinno Jialin Pan,et al. Transfer defect learning , 2013, 2013 35th International Conference on Software Engineering (ICSE).
[29] Anh Tuan Nguyen,et al. Bug Localization with Combination of Deep Learning and Information Retrieval , 2017, 2017 IEEE/ACM 25th International Conference on Program Comprehension (ICPC).
[30] Jian Zhou,et al. Where should the bugs be fixed? More accurate information retrieval-based bug localization based on bug reports , 2012, 2012 34th International Conference on Software Engineering (ICSE).
[31] Harald C. Gall,et al. Proceedings of the 2006 international workshop on Mining software repositories , 2006, International Conference on Software Engineering.