2019
- NEUZZ: Efficient Fuzzing with Neural Program Smoothing. Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray and Suman Jana. Will appear in S&P (Oakland) 2019.
2018
- DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars. Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray, 10 pages. In 40th International Conference on Software Engineering (ICSE’18), acceptance rate: 20.9%.
- Building Language Models for Text with Named Entities, Md Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang, 10 pages. In 56th Annual Meeting of the Association for Computational Linguistics (ACL’18), acceptance rate: 24%.
- Replay without Recording of Production Bugs for Service Oriented Applications, Nipun Arora, Jonathan Bell, Franjo Ivancic, Gail Kaiser, Baishakhi Ray, 10 pages. In 33rd IEEE/ACM International Conference on Automated Software Engineering, 2018 (ASE’18), acceptance rate: 19.9%.
- Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval, 10 pages, acceptance rate: 33%.
By Md Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andrés Lois, Sebastián Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, and Baishakhi Ray, 10 pages. In Mining Software Rerpository (MSR 2018).
- Obfuscation Resilient Search through Executable Classification, Fang-Hsiang Su, Jonathan Bell, Gail Kaiser, and Baishakhi Ray, 10 pages. In Second ACM SIGPLAN Workshop on Machine Learning and Programming Languages (MAPL'18).
Short Papers
- Poster: Which Similarity Metric to Use for Software Documents? A Study on Information Retrieval-Based Software Engineering Tasks, Md Masudur Rahman, Saikat Chakraborty, Baishakhi Ray. 2 pages. ICSE’18-Poster.
- Poster: Searching for High-performing Software Configurationswith Metaheuristic Algorithms, Chong Tang, Kevin Sullivan, Baishakhi Ray. 2 pages. ICSE’18-Poster.
- Poster: A Recommender System for Developer Onboarding, Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray. 2 pages. ICSE’18-Poster.
2017
- Automatically Diagnosing and Repairing Error Handling Bugs in C, Yuchi Tian, Baishakhi Ray, 10 pages. In 11th joint meeting of the European Software Engineering conference and the ACM Sigsoft Symposium on the Foundations of Software (ESEC-FSE’17), acceptance rate: 24.4%. ACM SIGSOFT Distinguished Paper Award.
- GitcProc: A Tool for Processing and Classifying GitHub Commits, C. Casalnuovo, Y. Suchak, Baishakhi Ray, C. Rubio-Gonzalez, 4 pages, In International Symposium on Software Testing and Analysis (ISSTA’17 Tool-demo).
- Some From Here, Some From There: Cross-Project Code Reuse in GitHub, M. Gharehyazie, Baishakhi Ray, V. Filkov, 10 pages. The 14th International Conference on Mining Software Repositories (MSR’17), acceptance rate: 27%. ACM SIGSOFT Distinguished Paper Award.
- A Large Scale Study of Programming Languages and Code Quality in Github. B. Ray, D. Posnett, P. T. Devanbu, V. Filkov. CACM Research Highlights.
2016
- APEx: Automated Inference of Error Specifications for C APIs, 10 pages, acceptance rate: 19.1% (to appear)
by Yuan Jochen Kang, Baishakhi Ray, Suman Jana.
[ ASE 2016]
- Automatically Detecting Error Handling Bugs using Error Specifications, 18 pages, acceptance rate: 15.5% (to appear)
by Suman Jana, Yuan Jochen Kang, Samuel Roth, Baishakhi Ray.
[ USENIX Security 2016]
- On the “Naturalness” of Buggy Code, 12 pages, acceptance rate: 19%
by Baishakhi Ray, Vincent Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar Devanbu.
[ ICSE 2016]