Lin Tan
Software and Data Resulting from Our Research:
ICSE-21
[Data]

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair. Nan Jiang, Thibaud Lutellier, and Lin Tan. In the proceedings of the International Conference on Software Engineering. May 2021. Acceptance Rate: 22% (138/615)

ISSTA-20
[Code & Data]

CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair. Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei and Lin Tan. In the proceedings of ACM SIGSOFT International Symposium on Software Testing and Analysis. July 2020. Virtual/Los Angeles, United States. Acceptance Rate: 26.5% (43/162)

FSE-18/EMSE-18 (Journal First)
[Data]

On the Correctness of Electronic Documents: Studying, Finding, and Localizing Inconsistency Bugs in PDF Readers and Files. (Open Access) Tomasz Kuchta*, Thibaud Lutellier*, Edmund Wong, Lin Tan, and Cristian Cadar. (* The first two authors contributed equally to this paper) Accepted to the Springer Empirical Software Engineering. (34 pages)

FSE-17
[Data]

QTEP: Quality-aware Test Case Prioritization. Song Wang, Jaechang Nam and Lin Tan. In the Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering. Acceptance Rate: 24% (72/295)

TSE-17 (Journal) [Data]

Measuring the Impact of Code Dependencies on Software Architecture Recovery Techniques. Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic and Robert Kroeger. In IEEE Transactions on Software Engineering.

ICSE-15 (SEIP)
[Data]

Comparing Software Architecture Recovery Techniques Using Accurate Dependencies. Thibaud Lutellier, Devin Chollak, Joshua Garcia, Lin Tan, Derek Rayside, Nenad Medvidovic and Robert Kroeger. In the proceedings of the International Conference on Software Engineering. Acceptance Rate: 22.5% (23/102)

SANER-15
[Code & Data]

CloCom: Mining Existing Source Code for Automatic Comment Generation. Edmund Wong, Taiyue Liu and Lin Tan. In the proceedings of the IEEE International Conference on Software Analysis, Evolution, and Reengineering. (10 pages) Acceptance Rate: 31.9% (46/144)

EMSE-14 (Journal)
[Data]

SWordNet: Inferring Semantically Related Words from Software Context. Jinqiu Yang and Lin Tan. In the Springer Empirical Software Engineering. (28 pages) [DOI] [BIBTEX]

ASE-13
[Data]

AutoComment: Mining Question and Answer Sites for Automatic Comment Generation. Edmund Wong, Jinqiu Yang, and Lin Tan. In the proceedings of the IEEE/ACM International Conference on Automated Software Engineering, New Idea Papers. (6 pages) Acceptance Rate: 23% (74/317) [BIBTEX]

ICST-12
[Code & Data]

@tComment: Testing Javadoc Comments to Detect Comment-Code Inconsistencies. Shin Hwei Tan, Darko Marinov, Lin Tan and Gary T. Leavens. In the proceedings of the 5th International Conference on Software Testing, Verification and Validation. April, 2012. (10 pages) Acceptance Rate: 26.9% (39/145). [Slides in PDF] [BIBTEX]

ICSE-09
[Code & Data]

Listening to Programmers - Taxonomies and Characteristics of Comments in Operating System Code. (Alphabetic order) Yoann Padioleau, Lin Tan and Yuanyuan Zhou. In the proceedings of the International Conference on Software Engineering. May, 2009. (11 pages) Acceptance Rate: 12.3% (50/405). [PS] [Slides in PDF] [BIBTEX]