| Automatically learning semantic features for defect prediction S Wang, T Liu, L Tan Proceedings of the 38th International Conference on Software Engineering …, 2016 | 710 | 2016 |
| Heterogeneous defect prediction J Nam, S Kim Proceedings of the 2015 10th joint meeting on foundations of software …, 2015 | 522 | 2015 |
| Hibernator: helping disk arrays sleep through the winter Q Zhu, Z Chen, L Tan, Y Zhou, K Keeton, J Wilkes ACM SIGOPS Operating Systems Review 39 (5), 177-190, 2005 | 442 | 2005 |
| A high throughput string matching architecture for intrusion detection and prevention L Tan, T Sherwood 32nd International Symposium on Computer Architecture (ISCA'05), 112-122, 2005 | 442 | 2005 |
| Sherlog: error diagnosis by connecting clues from run-time logs D Yuan, H Mai, W Xiong, L Tan, Y Zhou, S Pasupathy Proceedings of the fifteenth International Conference on Architectural …, 2010 | 402 | 2010 |
| Have things changed now?: an empirical study of bug characteristics in modern open source software Z Li, L Tan, X Wang, S Lu, Y Zhou, C Zhai Proceedings of the 1st workshop on Architectural and system support for …, 2006 | 397 | 2006 |
| Online Defect Prediction for Imbalanced Data M Tan, L Tan, S Dara, C Mayeux Proceedings of the International Conference on Software Engineering (ICSE), 2015 | 318 | 2015 |
| Bugbench: Benchmarks for evaluating bug detection tools S Lu, Z Li, F Qin, L Tan, P Zhou, Y Zhou Workshop on the evaluation of software defect detection tools 5, 2005 | 310 | 2005 |
| /* iComment: Bugs or bad comments?* L Tan, D Yuan, G Krishna, Y Zhou Proceedings of twenty-first ACM SIGOPS symposium on Operating systems …, 2007 | 297 | 2007 |
| Personalized Defect Prediction T Jiang, L Tan, S Kim IEEE/ACM International Conference on Automated Software Engineering, 2013 | 286 | 2013 |
| Asdroid: Detecting stealthy behaviors in android applications by user interface and program behavior contradiction J Huang, X Zhang, L Tan, P Wang, B Liang Proceedings of the 36th International Conference on Software Engineering …, 2014 | 283 | 2014 |
| AutoComment: Mining Question and Answer Sites for Automatic Comment Generation E Wong, J Yang, L Tan IEEE/ACM International Conference on Automated Software Engineering, 2013 | 281 | 2013 |
| Bug characteristics in open source software L Tan, C Liu, Z Li, X Wang, Y Zhou, C Zhai Empirical software engineering 19, 1665-1705, 2014 | 252 | 2014 |
| Coconut: combining context-aware neural translation models using ensemble for program repair T Lutellier, HV Pham, L Pang, Y Li, M Wei, L Tan Proceedings of the 29th ACM SIGSOFT international symposium on software …, 2020 | 248 | 2020 |
| @tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies SH Tan, D Marinov, L Tan, GT Leavens IEEE Fifth International Conference on Software Testing, Verification and …, 2012 | 213 | 2012 |
| Deep semantic feature learning for software defect prediction S Wang, T Liu, J Nam, L Tan IEEE Transactions on Software Engineering 46 (12), 1267-1293, 2018 | 212 | 2018 |
| Do time of day and developer experience affect commit bugginess? J Eyolfson, L Tan, P Lam Proceedings of the 8th Working Conference on Mining Software Repositories …, 2011 | 207 | 2011 |
| Cure: Code-aware neural machine translation for automatic program repair N Jiang, T Lutellier, L Tan 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 195 | 2021 |
| Discovering, Reporting, and Fixing Performance Bugs. A Nistor, T Jiang, L Tan Working Conference on Mining Software Repositories, 2013 | 180 | 2013 |
| Clocom: Mining existing source code for automatic comment generation E Wong, T Liu, L Tan 2015 IEEE 22nd International Conference on Software Analysis, Evolution, and …, 2015 | 158 | 2015 |
Yuanyuan ZhouUniversity of California, San Diegoeng.ucsd.edu의 이메일 확인됨
