Lin Tan

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 44

Top Topics

Automatically Classify

Symbolic Execution

Defect Prediction

Top Venues

Empir. Softw. Eng.

ESEC/SIGSOFT FSE

Publications

Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer
CEDAR: Continuous Testing of Deep Learning Libraries. SANER (2024)
Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
Impact of Code Language Models on Automated Program Repair. CoRR (2023)
Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. ICSE (2023)
Shangshu Qian, Wen Fan, Lin Tan, Yongle Zhang
Vicious Cycles in Distributed Software Systems. ASE (2023)
Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan
Revisiting Learning-based Commit Message Generation. ICSE (2023)
Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang
: Generative Language Models for Binaries. CoRR (2023)
Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair. CoRR (2023)
Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
How Effective Are Neural Networks for Fixing Security Vulnerabilities. CoRR (2023)
Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah
How Effective Are Neural Networks for Fixing Security Vulnerabilities. ISSTA (2023)
Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan
Impact of Code Language Models on Automated Program Repair. ICSE (2023)
Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis. CoRR (2023)
Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan
DisGUIDE: Disagreement-Guided Data-Free Model Extraction. AAAI (2023)
Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee
Impact of Large Language Models on Generating Software Specifications. CoRR (2023)
Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan
EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries. ICSE (2022)
Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey
DocTer: documentation-guided fuzzing for testing deep learning API functions. ISSTA (2022)
Ming Yan, Junjie Chen, Xiangyu Zhang, Lin Tan, Gan Wang, Zan Wang
Exposing numerical bugs in deep learning via gradient back-propagation. ESEC/SIGSOFT FSE (2021)
Nan Jiang, Thibaud Lutellier, Lin Tan
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. ICSE (2021)
Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
DEVIATE: A Deep Learning Variance Testing Framework. ASE (2021)
Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. NeurIPS (2021)
Nan Jiang, Thibaud Lutellier, Lin Tan
CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. CoRR (2021)
Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael Godfrey
Leveraging Documentation to Test Deep Learning Library Functions. CoRR (2021)
Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan, Xiangyu Zhang
C2S: translating natural language comments to formal program specifications. ESEC/SIGSOFT FSE (2020)
Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang
CPC: automatically classifying and propagating natural language comments via program analysis. ICSE (2020)
Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan
CoCoNuT: combining context-aware neural translation models using ensemble for program repair. ISSTA (2020)
Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan
Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance. ASE (2020)
Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang
Towards Feature Space Adversarial Attack. CoRR (2020)
Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan
Deep Semantic Feature Learning for Software Defect Prediction. IEEE Trans. Software Eng. 46 (12) (2020)
Lin Tan, Abram Hindle
Guest Editorial: Special Section on Mining Software Repositories. Empir. Softw. Eng. 24 (3) (2019)
Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
A bug finder refined by a large set of open-source projects. Inf. Softw. Technol. 112 (2019)
Jinqiu Yang, Lin Tan, John Peyton, Kristofer A. Duer
Towards better utilizing static application security testing. ICSE (SEIP) (2019)
Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan
CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries. ICSE (2019)
Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan
ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair. CoRR (2019)
Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger
Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques. IEEE Trans. Software Eng. 44 (2) (2018)
Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan
Automatically Extracting Web API Specifications from HTML Documentation. CoRR (2018)
Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar
On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files. Empir. Softw. Eng. 23 (6) (2018)
Jaechang Nam, Song Wang, Yuan Xi, Lin Tan
Designing bug detection rules for fewer false alarms. ICSE (Companion Volume) (2018)
Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan
Towards extracting web API specifications from documentation. MSR (2018)
Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan
Heterogeneous Defect Prediction. IEEE Trans. Software Eng. 44 (9) (2018)
Jinqiu Yang, Alexey Zhikhartsev, Yuefei Liu, Lin Tan
Better test cases for better automated program repair. ESEC/SIGSOFT FSE (2017)
Song Wang, Jaechang Nam, Lin Tan
QTEP: quality-aware test case prioritization. ESEC/SIGSOFT FSE (2017)
Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan
Bugram: bug detection with n-gram language models. ASE (2016)
Song Wang, Taiyue Liu, Lin Tan
Automatically learning semantic features for defect prediction. ICSE (2016)
Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin
Automatic model generation from documentation for Java API functions. ICSE (2016)
Jianjun Huang, Xiangyu Zhang, Lin Tan
Detecting sensitive data disclosure via bi-directional text correlation analysis. SIGSOFT FSE (2016)
Edmund Wong, Taiyue Liu, Lin Tan
CloCom: Mining existing source code for automatic comment generation. SANER (2015)
Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan
DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing. ICSE (1) (2015)
Guy-Vincent Jourdan, Gregor von Bochmann, Ettore Merlo, James Miller, Vio Onut, Lin Tan
Workshop on the application of security and testing to rich internet applications. CASCON (2015)
Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux
Online Defect Prediction for Imbalanced Data. ICSE (2) (2015)
Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger
Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. ICSE (2) (2015)
Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai
Bug characteristics in open source software. Empir. Softw. Eng. 19 (6) (2014)
Jianjun Huang, Xiangyu Zhang, Lin Tan, Peng Wang, Bin Liang
AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction. ICSE (2014)
Sandeep Chaudhary, Sebastian Fischmeister, Lin Tan
em-SPADE: a compiler extension for checking rules extracted from processor specifications. LCTES (2014)
Jon Eyolfson, Lin Tan, Patrick Lam
Correlations between bugginess and time-based commit characteristics. Empir. Softw. Eng. 19 (4) (2014)
Quinn Hanam, Lin Tan, Reid Holmes, Patrick Lam
Finding patterns in static analysis alerts: improving actionable alert ranking. MSR (2014)
Jinqiu Yang, Lin Tan
SWordNet: Inferring semantically related words from software context. Empir. Softw. Eng. 19 (6) (2014)
Adrian Nistor, Tian Jiang, Lin Tan
Discovering, reporting, and fixing performance bugs. MSR (2013)
Tian Jiang, Lin Tan, Sunghun Kim
Personalized defect prediction. ASE (2013)
Chen Liu, Jinqiu Yang, Lin Tan, Munawar Hafiz
R2Fix: Automatically Generating Bug Fixes from Bug Reports. ICST (2013)
Edmund Wong, Jinqiu Yang, Lin Tan
AutoComment: Mining question and answer sites for automatic comment generation. ASE (2013)
Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, J. David Morgenthaler
Generating precise dependencies for large software. MTD@ICSE (2013)
Shin Hwei Tan, Darko Marinov, Lin Tan, Gary T. Leavens
@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. ICST (2012)
Jinqiu Yang, Lin Tan
Inferring semantically related words from software context. MSR (2012)
Lin Tan, Yuanyuan Zhou, Yoann Padioleau
aComment: mining annotations from comments and code to detect interrupt related concurrency bugs. ICSE (2011)
Jon Eyolfson, Lin Tan, Patrick Lam
Do time of day and developer experience affect commit bugginess. MSR (2011)
Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy
SherLog: error diagnosis by connecting clues from run-time logs. ASPLOS (2010)
Yoann Padioleau, Lin Tan, Yuanyuan Zhou
Listening to programmers - Taxonomies and characteristics of comments in operating system code. ICSE (2009)
Lin Tan, Xiaolan Zhang, Xiao Ma, Weiwei Xiong, Yuanyuan Zhou
AutoISES: Automatically Inferring Security Specification and Detecting Violations. USENIX Security Symposium (2008)
Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou
/*icomment: bugs or bad comments?*/. SOSP (2007)
Lin Tan, Ellick Chan, Reza Farivar, Nevedita Mallick, Jeffrey C. Carlyle, Francis M. David, Roy H. Campbell
iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support. DASC (2007)
Lin Tan, Ding Yuan, Yuanyuan Zhou
HotComments: How to Make Program Comments More Useful? HotOS (2007)
Lin Tan, Timothy Sherwood
Architectures for Bit-Split String Scanning in Intrusion Detection. IEEE Micro 26 (1) (2006)
Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai
Have things changed now?: an empirical study of bug characteristics in modern open source software. ASID (2006)
Lin Tan, Brett Brotherton, Timothy Sherwood
Bit-split string-matching engines for intrusion detection and prevention. ACM Trans. Archit. Code Optim. 3 (1) (2006)
Lin Tan, Timothy Sherwood
A High Throughput String Matching Architecture for Intrusion Detection and Prevention. ISCA (2005)
Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, Kimberly Keeton, John Wilkes
Hibernator: helping disk arrays sleep through the winter. SOSP (2005)