Lin Tan
Lin Tan
Mary J. Elmore New Frontiers Professor, Computer Science, Purdue University
Verified email at - Homepage
Cited by
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Automatically learning semantic features for defect prediction
S Wang, T Liu, L Tan
Proceedings of the 38th international conference on software engineering …, 2016
Heterogeneous defect prediction
J Nam, S Kim
Proceedings of the 2015 10th joint meeting on foundations of software …, 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
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
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
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
Online Defect Prediction for Imbalanced Data
M Tan, L Tan, S Dara, C Mayeux
Proceedings of the International Conference on Software Engineering (ICSE), 2015
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
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
/* icomment: Bugs or bad comments?*
L Tan, D Yuan, G Krishna, Y Zhou
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems …, 2007
Personalized Defect Prediction
T Jiang, L Tan, S Kim
IEEE/ACM International Conference on Automated Software Engineering, 2013
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
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
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
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
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
@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
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
Discovering, Reporting, and Fixing Performance Bugs.
A Nistor, T Jiang, L Tan
Working Conference on Mining Software Repositories, 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
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