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2020 – today
- 2020
[c38]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. ACL 2020: 4998-5007- [c37]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. ECCV (2) 2020: 158-174 - [c36]Raffi Khatchadourian
, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray:
An Empirical Study on the Use and Misuse of Java 8 Streams. FASE 2020: 97-118 - [c35]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray:
Testing DNN image classifiers for confusion & bias errors. ICSE (Companion Volume) 2020: 304-305 - [c34]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray:
Testing DNN image classifiers for confusion & bias errors. ICSE 2020: 1122-1134 - [c33]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. ASE 2020: 275-286 - [c32]Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray:
MTFuzz: fuzzing with a multi-task neural network. ESEC/SIGSOFT FSE 2020: 737-749 - [c31]Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana:
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. IEEE Symposium on Security and Privacy 2020: 1527-1543 - [i26]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. CoRR abs/2005.00653 (2020) - [i25]Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid, Marina Polishchuk, Baishakhi Ray:
Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations. CoRR abs/2005.11498 (2020) - [i24]Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray:
MTFuzz: Fuzzing with a Multi-Task Neural Network. CoRR abs/2005.12392 (2020) - [i23]Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick:
Multitask Learning Strengthens Adversarial Robustness. CoRR abs/2007.07236 (2020) - [i22]Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Patching as Translation: the Data and the Metaphor. CoRR abs/2008.10707 (2020) - [i21]Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray:
Deep Learning based Vulnerability Detection: Are We There Yet? CoRR abs/2009.07235 (2020) - [i20]Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang:
Deep Learning & Software Engineering: State of Research and Future Directions. CoRR abs/2009.08525 (2020) - [i19]Ziyuan Zhong, Yuchi Tian, Baishakhi Ray:
Understanding Spatial Robustness of Deep Neural Networks. CoRR abs/2010.04821 (2020) - [i18]Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi:
CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning. CoRR abs/2010.06061 (2020) - [i17]Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray:
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity. CoRR abs/2012.08680 (2020)
2010 – 2019
- 2019
- [j5]Mohammad Gharehyazie, Baishakhi Ray, Mehdi Keshani, Masoumeh Soleimani Zavosht, Abbas Heydarnoori, Vladimir Filkov:
Cross-project code clones in GitHub. Empir. Softw. Eng. 24(3): 1538-1573 (2019) - [j4]Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang:
Bringing Engineering Rigor to Deep Learning. ACM SIGOPS Oper. Syst. Rev. 53(1): 59-67 (2019) - [c30]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. NeurIPS 2019: 478-489 - [c29]Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray:
Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks. SCAM 2019: 127-138 - [c28]Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana:
NEUZZ: Efficient Fuzzing with Neural Program Smoothing. IEEE Symposium on Security and Privacy 2019: 803-817 - [i16]Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray:
Testing Deep Neural Network based Image Classifiers. CoRR abs/1905.07831 (2019) - [i15]Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana:
Neutaint: Efficient Dynamic Taint Analysis with Neural Networks. CoRR abs/1907.03756 (2019) - [i14]Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray:
Metric Learning for Adversarial Robustness. CoRR abs/1909.00900 (2019) - [i13]Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray:
Unrestricted Adversarial Attacks for Semantic Segmentation. CoRR abs/1910.02354 (2019) - [i12]Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray:
ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance. CoRR abs/1910.09644 (2019) - [i11]Baishakhi Ray, Prem Devanbu, Vladimir Filkov:
Rebuttal to Berger et al., TOPLAS 2019. CoRR abs/1911.07393 (2019) - 2018
- [j3]Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md. Masudur Rahman:
Recommending GitHub Projects for Developer Onboarding. IEEE Access 6: 52082-52094 (2018) - [c27]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. ACL (1) 2018: 2373-2383 - [c26]Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray:
DeepTest: automated testing of deep-neural-network-driven autonomous cars. ICSE 2018: 303-314 - [c25]Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray:
A recommender system for developer onboarding. ICSE (Companion Volume) 2018: 319-320 - [c24]Md. Masudur Rahman, Saikat Chakraborty, Baishakhi Ray:
Which similarity metric to use for software documents?: a study on information retrieval based software engineering tasks. ICSE (Companion Volume) 2018: 335-336 - [c23]Chong Tang, Kevin J. Sullivan, Baishakhi Ray:
Searching for high-performing software configurations with metaheuristic algorithms. ICSE (Companion Volume) 2018: 354-355 - [c22]Nipun Arora, Jonathan Bell, Franjo Ivancic, Gail E. Kaiser, Baishakhi Ray:
Replay without recording of production bugs for service oriented applications. ASE 2018: 452-463 - [c21]Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray:
Evaluating how developers use general-purpose web-search for code retrieval. MSR 2018: 465-475 - [c20]Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray:
Obfuscation resilient search through executable classification. MAPL@PLDI 2018: 20-30 - [i10]Saikat Chakraborty, Yujian Li, Matt Irvine, Ripon Saha, Baishakhi Ray:
Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model. CoRR abs/1802.06947 (2018) - [i9]Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray:
Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval. CoRR abs/1803.08612 (2018) - [i8]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. CoRR abs/1805.04836 (2018) - [i7]Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray:
Obfuscation Resilient Search through Executable Classification. CoRR abs/1806.02432 (2018) - [i6]Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana:
NEUZZ: Efficient Fuzzing with Neural Program Learning. CoRR abs/1807.05620 (2018) - [i5]Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray:
A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks. CoRR abs/1808.02911 (2018) - [i4]Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray:
Tree2Tree Neural Translation Model for Learning Source Code Changes. CoRR abs/1810.00314 (2018) - 2017
- [j2]Baishakhi Ray, Daryl Posnett, Premkumar T. Devanbu, Vladimir Filkov:
A large-scale study of programming languages and code quality in GitHub. Commun. ACM 60(10): 91-100 (2017) - [c19]Casey Casalnuovo, Yagnik Suchak, Baishakhi Ray, Cindy Rubio-González:
GitcProc: a tool for processing and classifying GitHub commits. ISSTA 2017: 396-399 - [c18]Mohammad Gharehyazie, Baishakhi Ray, Vladimir Filkov:
Some from here, some from there: cross-project code reuse in GitHub. MSR 2017: 291-301 - [c17]Yuchi Tian, Baishakhi Ray:
Automatically diagnosing and repairing error handling bugs in C. ESEC/SIGSOFT FSE 2017: 752-762 - [i3]Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray:
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars. CoRR abs/1708.08559 (2017) - [i2]Chong Tang, Kevin J. Sullivan, Jian Xiang, Trent Weiss, Baishakhi Ray:
Interpreted Formalisms for Configurations. CoRR abs/1712.04982 (2017) - 2016
- [c16]Baishakhi Ray, Vincent Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu:
On the "naturalness" of buggy code. ICSE 2016: 428-439 - [c15]Yuan Jochen Kang, Baishakhi Ray, Suman Jana:
APEx: automated inference of error specifications for C APIs. ASE 2016: 472-482 - [c14]Suman Jana, Yuan Jochen Kang, Samuel Roth, Baishakhi Ray:
Automatically Detecting Error Handling Bugs Using Error Specifications. USENIX Security Symposium 2016: 345-362 - [p1]Baishakhi Ray, Daryl Posnett:
A large ecosystem study to understand the effect of programming languages on code quality. Perspectives on Data Science for Software Engineering 2016: 115-118 - 2015
- [c13]Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov:
Gender and Tenure Diversity in GitHub Teams. CHI 2015: 3789-3798 - [c12]Casey Casalnuovo, Premkumar T. Devanbu, Abílio Oliveira, Vladimir Filkov, Baishakhi Ray:
Assert Use in GitHub Projects. ICSE (1) 2015: 755-766 - [c11]Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann:
The Uniqueness of Changes: Characteristics and Applications. MSR 2015: 34-44 - [i1]Baishakhi Ray, Vincent Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu:
On the "Naturalness" of Buggy Code. CoRR abs/1506.01159 (2015) - 2014
- [c10]Baishakhi Ray, Daryl Posnett, Vladimir Filkov, Premkumar T. Devanbu:
A large scale study of programming languages and code quality in github. SIGSOFT FSE 2014: 155-165 - [c9]Chad Brubaker, Suman Jana, Baishakhi Ray, Sarfraz Khurshid, Vitaly Shmatikov:
Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations. IEEE Symposium on Security and Privacy 2014: 114-129 - 2013
- [c8]Tyler McDonnell, Baishakhi Ray, Miryung Kim:
An Empirical Study of API Stability and Adoption in the Android Ecosystem. ICSM 2013: 70-79 - [c7]Baishakhi Ray, Miryung Kim, Suzette Person, Neha Rungta:
Detecting and characterizing semantic inconsistencies in ported code. ASE 2013: 367-377 - 2012
- [c6]Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae:
An empirical study of supplementary bug fixes. MSR 2012: 40-49 - [c5]Baishakhi Ray, Christopher Wiley, Miryung Kim:
REPERTOIRE: a cross-system porting analysis tool for forked software projects. SIGSOFT FSE 2012: 8 - [c4]Baishakhi Ray, Miryung Kim:
A case study of cross-system porting in forked projects. SIGSOFT FSE 2012: 53 - 2011
- [c3]Christopher J. Rossbach, Jon Currey, Mark Silberstein, Baishakhi Ray, Emmett Witchel:
PTask: operating system abstractions to manage GPUs as compute devices. SOSP 2011: 233-248
2000 – 2009
- 2009
- [c2]Aaron Beach, Baishakhi Ray, Leah Buechley:
Touch Me Wear: Getting Physical with Social Networks. CSE (4) 2009: 960-965 - 2008
- [j1]Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han:
WhozThat? evolving an ecosystem for context-aware mobile social networks. IEEE Netw. 22(4): 50-55 (2008) - [c1]Baishakhi Ray, Shivakant Mishra:
A Protocol for Building Secure and Reliable Covert Channel. PST 2008: 246-253
Coauthor Index
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