Lin Tan
Software and Data Resulting from Our Research:
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
[Data&Software]

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]

ICSE-09
[Data&Software]

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. Vancouver, BC. (11 pages) Acceptance Rate: 12.3% (50/405). [PS] [Slides in PDF] [BIBTEX] [Cited 20+ Times] (Press Coverage)