Lin Tan

According to our database, Lin Tan authored at least 74 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

WAFFLE: Multi-Modal Model for Automated Front-End Development.

Shanchao Liang, Nan Jiang, Shangshu Qian, Lin Tan

CoRR, 2024

CEDAR: Continuous Testing of Deep Learning Libraries.

Danning Xie, Jiannan Wang, Hung Viet Pham, Lin Tan, Yu Guo, Adnan Aziz, Erik Meijer

Proceedings of the IEEE International Conference on Software Analysis, 2024

ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries.

Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, Xiangyu Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

Nova⁺: Generative Language Models for Binaries.

Nan Jiang, Chengxiao Wang, Kevin Liu, Xiangzhe Xu, Lin Tan, Xiangyu Zhang

CoRR, 2023

Impact of Large Language Models on Generating Software Specifications.

Danning Xie, Byungwoo Yoo, Nan Jiang, Mijung Kim, Lin Tan, Xiangyu Zhang, Judy S. Lee

CoRR, 2023

LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis.

Xiangzhe Xu, Zhuo Zhang, Shiwei Feng, Yapeng Ye, Zian Su, Nan Jiang, Siyuan Cheng, Lin Tan, Xiangyu Zhang

CoRR, 2023

Vicious Cycles in Distributed Software Systems.

Shangshu Qian, Wen Fan, Lin Tan, Yongle Zhang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

How Effective Are Neural Networks for Fixing Security Vulnerabilities.

Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, Sameena Shah

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair.

Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, Xiangyu Zhang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Impact of Code Language Models on Automated Program Repair.

Nan Jiang, Kevin Liu, Thibaud Lutellier, Lin Tan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Revisiting Learning-based Commit Message Generation.

Jinhao Dong, Yiling Lou, Dan Hao, Lin Tan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

DisGUIDE: Disagreement-Guided Data-Free Model Extraction.

Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DocTer: documentation-guided fuzzing for testing deep learning API functions.

Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey

Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries.

Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, Lin Tan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Leveraging Documentation to Test Deep Learning Library Functions.

Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Michael W. Godfrey

CoRR, 2021

Exposing numerical bugs in deep learning via gradient back-propagation.

Ming Yan, Junjie Chen, Xiangyu Zhang, Lin Tan, Gan Wang, Zan Wang

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training.

Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, Sameena Shah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DEVIATE: A Deep Learning Variance Testing Framework.

Hung Viet Pham, Mijung Kim, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair.

Nan Jiang, Thibaud Lutellier, Lin Tan

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Deep Semantic Feature Learning for Software Defect Prediction.

Song Wang, Taiyue Liu, Jaechang Nam, Lin Tan

IEEE Trans. Software Eng., 2020

Towards Feature Space Adversarial Attack.

Qiuling Xu, Guanhong Tao, Siyuan Cheng, Lin Tan, Xiangyu Zhang

CoRR, 2020

C2S: translating natural language comments to formal program specifications.

Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan, Xiangyu Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance.

Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, Nachiappan Nagappan

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

CoCoNuT: combining context-aware neural translation models using ensemble for program repair.

Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei, Lin Tan

Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

CPC: automatically classifying and propagating natural language comments via program analysis.

Juan Zhai, Xiangzhe Xu, Yu Shi, Guanhong Tao, Minxue Pan, Shiqing Ma, Lei Xu, Weifeng Zhang, Lin Tan, Xiangyu Zhang

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

A bug finder refined by a large set of open-source projects.

Jaechang Nam, Song Wang, Yuan Xi, Lin Tan

Inf. Softw. Technol., 2019

Guest Editorial: Special Section on Mining Software Repositories.

Lin Tan, Abram Hindle

Empir. Softw. Eng., 2019

ENCORE: Ensemble Learning using Convolution Neural Machine Translation for Automatic Program Repair.

Thibaud Lutellier, Lawrence Pang, Hung Viet Pham, Moshi Wei, Lin Tan

CoRR, 2019

CRADLE: cross-backend validation to detect and localize bugs in deep learning libraries.

Hung Viet Pham, Thibaud Lutellier, Weizhen Qi, Lin Tan

Proceedings of the 41st International Conference on Software Engineering, 2019

Towards better utilizing static application security testing.

Jinqiu Yang, Lin Tan, John Peyton, Kristofer A. Duer

Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

2018

Heterogeneous Defect Prediction.

Jaechang Nam, Wei Fu, Sunghun Kim, Tim Menzies, Lin Tan

IEEE Trans. Software Eng., 2018

Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques.

Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger

IEEE Trans. Software Eng., 2018

On the correctness of electronic documents: studying, finding, and localizing inconsistency bugs in PDF readers and files.

Tomasz Kuchta, Thibaud Lutellier, Edmund Wong, Lin Tan, Cristian Cadar

Empir. Softw. Eng., 2018

Automatically Extracting Web API Specifications from HTML Documentation.

Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan

CoRR, 2018

Towards extracting web API specifications from documentation.

Jinqiu Yang, Erik Wittern, Annie T. T. Ying, Julian Dolby, Lin Tan

Proceedings of the 15th International Conference on Mining Software Repositories, 2018

Designing bug detection rules for fewer false alarms.

Jaechang Nam, Song Wang, Yuan Xi, Lin Tan

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017

Better test cases for better automated program repair.

Jinqiu Yang, Alexey Zhikhartsev, Yuefei Liu, Lin Tan

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

QTEP: quality-aware test case prioritization.

Song Wang, Jaechang Nam, Lin Tan

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

2016

Detecting sensitive data disclosure via bi-directional text correlation analysis.

Jianjun Huang, Xiangyu Zhang, Lin Tan

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Bugram: bug detection with n-gram language models.

Song Wang, Devin Chollak, Dana Movshovitz-Attias, Lin Tan

Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

Automatic model generation from documentation for Java API functions.

Juan Zhai, Jianjun Huang, Shiqing Ma, Xiangyu Zhang, Lin Tan, Jianhua Zhao, Feng Qin

Proceedings of the 38th International Conference on Software Engineering, 2016

Automatically learning semantic features for defect prediction.

Song Wang, Taiyue Liu, Lin Tan

Proceedings of the 38th International Conference on Software Engineering, 2016

2015

CloCom: Mining existing source code for automatic comment generation.

Edmund Wong, Taiyue Liu, Lin Tan

Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

DASE: Document-Assisted Symbolic Execution for Improving Automated Software Testing.

Edmund Wong, Lei Zhang, Song Wang, Taiyue Liu, Lin Tan

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Online Defect Prediction for Imbalanced Data.

Ming Tan, Lin Tan, Sashank Dara, Caleb Mayeux

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Comparing Software Architecture Recovery Techniques Using Accurate Dependencies.

Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic, Robert Kroeger

Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Workshop on the application of security and testing to rich internet applications.

Guy-Vincent Jourdan, Gregor von Bochmann, Ettore Merlo, James Miller, Vio Onut, Lin Tan

Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

Code Comment Analysis for Improving Software Quality.

Lin Tan

Proceedings of the Art and Science of Analyzing Software Data, 2015

2014

SWordNet: Inferring semantically related words from software context.

Jinqiu Yang, Lin Tan

Empir. Softw. Eng., 2014

Bug characteristics in open source software.

Lin Tan, Chen Liu, Zhenmin Li, Xuanhui Wang, Yuanyuan Zhou, ChengXiang Zhai

Empir. Softw. Eng., 2014

Correlations between bugginess and time-based commit characteristics.

Jon Eyolfson, Lin Tan, Patrick Lam

Empir. Softw. Eng., 2014

Finding patterns in static analysis alerts: improving actionable alert ranking.

Quinn Hanam, Lin Tan, Reid Holmes, Patrick Lam

Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

em-SPADE: a compiler extension for checking rules extracted from processor specifications.

Sandeep Chaudhary, Sebastian Fischmeister, Lin Tan

Proceedings of the SIGPLAN/SIGBED Conference on Languages, 2014

AsDroid: detecting stealthy behaviors in Android applications by user interface and program behavior contradiction.

Jianjun Huang, Xiangyu Zhang, Lin Tan, Peng Wang, Bin Liang

Proceedings of the 36th International Conference on Software Engineering, 2014

2013

Discovering, reporting, and fixing performance bugs.

Adrian Nistor, Tian Jiang, Lin Tan

Proceedings of the 10th Working Conference on Mining Software Repositories, 2013

AutoComment: Mining question and answer sites for automatic comment generation.

Edmund Wong, Jinqiu Yang, Lin Tan

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

Personalized defect prediction.

Tian Jiang, Lin Tan, Sunghun Kim

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

R2Fix: Automatically Generating Bug Fixes from Bug Reports.

Chen Liu, Jinqiu Yang, Lin Tan, Munawar Hafiz

Proceedings of the Sixth IEEE International Conference on Software Testing, 2013

Generating precise dependencies for large software.

Pei Wang, Jinqiu Yang, Lin Tan, Robert Kroeger, J. David Morgenthaler

Proceedings of the 4th International Workshop on Managing Technical Debt, 2013

2012

Inferring semantically related words from software context.

Jinqiu Yang, Lin Tan

Proceedings of the 9th IEEE Working Conference of Mining Software Repositories, 2012

@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies.

Shin Hwei Tan, Darko Marinov, Lin Tan, Gary T. Leavens

Proceedings of the Fifth IEEE International Conference on Software Testing, 2012

2011

Do time of day and developer experience affect commit bugginess.

Jon Eyolfson, Lin Tan, Patrick Lam

Proceedings of the 8th International Working Conference on Mining Software Repositories, 2011

aComment: mining annotations from comments and code to detect interrupt related concurrency bugs.

Lin Tan, Yuanyuan Zhou, Yoann Padioleau

Proceedings of the 33rd International Conference on Software Engineering, 2011

2010

SherLog: error diagnosis by connecting clues from run-time logs.

Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy

Proceedings of the 15th International Conference on Architectural Support for Programming Languages and Operating Systems, 2010

2009

Listening to programmers - Taxonomies and characteristics of comments in operating system code.

Yoann Padioleau, Lin Tan, Yuanyuan Zhou

Proceedings of the 31st International Conference on Software Engineering, 2009

2008

AutoISES: Automatically Inferring Security Specification and Detecting Violations.

Lin Tan, Xiaolan Zhang, Xiao Ma, Weiwei Xiong, Yuanyuan Zhou

Proceedings of the 17th USENIX Security Symposium, 2008

2007

/*icomment: bugs or bad comments?*/.

Lin Tan, Ding Yuan, Gopal Krishna, Yuanyuan Zhou

Proceedings of the 21st ACM Symposium on Operating Systems Principles 2007, 2007

HotComments: How to Make Program Comments More Useful?

Lin Tan, Ding Yuan, Yuanyuan Zhou

Proceedings of HotOS'07: 11th Workshop on Hot Topics in Operating Systems, 2007

iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support.

Lin Tan, Ellick Chan, Reza Farivar, Nevedita Mallick, Jeffrey C. Carlyle, Francis M. David, Roy H. Campbell

Proceedings of the Third IEEE International Symposium on Dependable, 2007

2006

Bit-split string-matching engines for intrusion detection and prevention.

Lin Tan, Brett Brotherton, Timothy Sherwood

ACM Trans. Archit. Code Optim., 2006

Architectures for Bit-Split String Scanning in Intrusion Detection.

Lin Tan, Timothy Sherwood

IEEE Micro, 2006

Have things changed now?: an empirical study of bug characteristics in modern open source software.

Zhenmin Li, Lin Tan, Xuanhui Wang, Shan Lu, Yuanyuan Zhou, Chengxiang Zhai

Proceedings of the 1st Workshop on Architectural and System Support for Improving Software Dependability, 2006

2005

Hibernator: helping disk arrays sleep through the winter.

Qingbo Zhu, Zhifeng Chen, Lin Tan, Yuanyuan Zhou, Kimberly Keeton, John Wilkes

Proceedings of the 20th ACM Symposium on Operating Systems Principles 2005, 2005

A High Throughput String Matching Architecture for Intrusion Detection and Prevention.

Lin Tan, Timothy Sherwood

Proceedings of the 32st International Symposium on Computer Architecture (ISCA 2005), 2005