Baishakhi Ray

According to our database, Baishakhi Ray authored at least 110 papers between 2008 and 2024.

Collaborative distances:

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

2024

CYCLE: Learning to Self-Refine the Code Generation.

Yangruibo Ding, Marcus J. Min, Gail E. Kaiser, Baishakhi Ray

CoRR, 2024

Vulnerability Detection with Code Language Models: How Far Are We?

Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim, Chawin Sitawarin, Xinyun Chen, Basel Alomair, David A. Wagner, Baishakhi Ray, Yizheng Chen

CoRR, 2024

PropTest: Automatic Property Testing for Improved Visual Programming.

Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla, Baishakhi Ray, Vicente Ordonez

CoRR, 2024

Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM.

Gabriel Ryan, Siddhartha Jain, Mingyue Shang, Shiqi Wang, Xiaofei Ma, Murali Krishna Ramanathan, Baishakhi Ray

CoRR, 2024

TRACED: Execution-aware Pre-training for Source Code.

Yangruibo Ding, Benjamin Steenhoek, Kexin Pei, Gail E. Kaiser, Wei Le, Baishakhi Ray

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Neural Network Guided Evolutionary Fuzzing for Finding Traffic Violations of Autonomous Vehicles.

Ziyuan Zhong, Gail E. Kaiser, Baishakhi Ray

IEEE Trans. Software Eng., April, 2023

Learning Approximate Execution Semantics From Traces for Binary Function Similarity.

Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray

IEEE Trans. Software Eng., April, 2023

Programming Language Processing (Dagstuhl Seminar 23062).

Michael Pradel, Baishakhi Ray, Charles Sutton, Eran Yahav

Dagstuhl Reports, February, 2023

Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain.

Marcus J. Min, Yangruibo Ding, Luca Buratti, Saurabh Pujar, Gail E. Kaiser, Suman Jana, Baishakhi Ray

CoRR, 2023

Yuga: Automatically Detecting Lifetime Annotation Bugs in the Rust Language.

Vikram Nitin, Anne Mulhern, Sanjay Arora, Baishakhi Ray

CoRR, 2023

Towards Causal Deep Learning for Vulnerability Detection.

Md Mahbubur Rahman, Ira Ceka, Chengzhi Mao, Saikat Chakraborty, Baishakhi Ray, Wei Le

CoRR, 2023

Automated Code Editing with Search-Generate-Modify.

Changshu Liu, Pelin Çetin, Yogesh Patodia, Saikat Chakraborty, Yangruibo Ding, Baishakhi Ray

CoRR, 2023

A Static Evaluation of Code Completion by Large Language Models.

Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

CoRR, 2023

TraceFixer: Execution Trace-Driven Program Repair.

Islem Bouzenia, Yangruibo Ding, Kexin Pei, Baishakhi Ray, Michael Pradel

CoRR, 2023

Variation of Gender Biases in Visual Recognition Models Before and After Finetuning.

Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez

CoRR, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.

Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang

CoRR, 2023

IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks.

Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis

Proceedings of the 32nd USENIX Security Symposium, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.

Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CONCORD: Clone-Aware Contrastive Learning for Source Code.

Yangruibo Ding, Saikat Chakraborty, Luca Buratti, Saurabh Pujar, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray

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

Programming Language Processing : How AI can Revolutionize Software Development?

Baishakhi Ray

Proceedings of the 16th Innovations in Software Engineering Conference, 2023

On ML-Based Program Translation: Perils and Promises.

Aniketh Malyala, Katelyn Zhou, Baishakhi Ray, Saikat Chakraborty

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

Guided Conditional Diffusion for Controllable Traffic Simulation.

Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.

Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Language-Guided Traffic Simulation via Scene-Level Diffusion.

Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, Baishakhi Ray

Proceedings of the Conference on Robot Learning, 2023

CAMEO: A Causal Transfer Learning Approach for Performance Optimization of Configurable Computer Systems.

Md Shahriar Iqbal, Ziyuan Zhong, Iftakhar Ahmad, Baishakhi Ray, Pooyan Jamshidi

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

ContraCLM: Contrastive Learning For Causal Language Model.

Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Static Evaluation of Code Completion by Large Language Models.

Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

ReCode: Robustness Evaluation of Code Generation Models.

Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ConEx: Efficient Exploration of Big-Data System Configurations for Better Performance.

Rahul Krishna, Chong Tang, Kevin J. Sullivan, Baishakhi Ray

IEEE Trans. Software Eng., 2022

Deep Learning Based Vulnerability Detection: Are We There Yet?

Saikat Chakraborty, Rahul Krishna, Yangruibo Ding, Baishakhi Ray

IEEE Trans. Software Eng., 2022

CODIT: Code Editing With Tree-Based Neural Models.

Saikat Chakraborty, Yangruibo Ding, Miltiadis Allamanis, Baishakhi Ray

IEEE Trans. Software Eng., 2022

Multi-lingual Evaluation of Code Generation Models.

Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

CoRR, 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.

Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang

CoRR, 2022

Automatic Map Generation for Autonomous Driving System Testing.

Yun Tang, Yuan Zhou, Kairui Yang, Ziyuan Zhong, Baishakhi Ray, Yang Liu, Ping Zhang, Junbo Chen

CoRR, 2022

Repairing Group-Level Errors for DNNs Using Weighted Regularization.

Ziyuan Zhong, Yuchi Tian, Conor J. Sweeney, Vicente Ordóñez Román, Baishakhi Ray

CoRR, 2022

VELVET: a noVel Ensemble Learning approach to automatically locate VulnErable sTatements.

Yangruibo Ding, Sahil Suneja, Yunhui Zheng, Jim Laredo, Alessandro Morari, Gail E. Kaiser, Baishakhi Ray

Proceedings of the IEEE International Conference on Software Analysis, 2022

NeuDep: neural binary memory dependence analysis.

Kexin Pei, Dongdong She, Michael Wang, Scott Geng, Zhou Xuan, Yaniv David, Junfeng Yang, Suman Jana, Baishakhi Ray

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

NatGen: generative pre-training by "naturalizing" source code.

Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Predictive synthesis of API-centric code.

Daye Nam, Baishakhi Ray, Seohyun Kim, Xianshan Qu, Satish Chandra

Proceedings of the MAPS@PLDI 2022: 6th ACM SIGPLAN International Symposium on Machine Programming, 2022

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.

Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Detecting multi-sensor fusion errors in advanced driver-assistance systems.

Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray

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

Unicorn: reasoning about configurable system performance through the lens of causality.

Md Shahriar Iqbal, Rahul Krishna, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Towards Learning (Dis)-Similarity of Source Code from Program Contrasts.

Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation.

Ziyuan Zhong, Yun Tang, Yuan Zhou, Vânia de Oliveira Neves, Yang Liu, Baishakhi Ray

CoRR, 2021

Contrastive Learning for Source Code with Structural and Functional Properties.

Yangruibo Ding, Luca Buratti, Saurabh Pujar, Alessandro Morari, Baishakhi Ray, Saikat Chakraborty

CoRR, 2021

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving.

Ziyuan Zhong, Zhisheng Hu, Shengjian Guo, Xinyang Zhang, Zhenyu Zhong, Baishakhi Ray

CoRR, 2021

StateFormer: fine-grained type recovery from binaries using generative state modeling.

Kexin Pei, Jonas Guan, Matthew Broughton, Zhongtian Chen, Songchen Yao, David Williams-King, Vikas Ummadisetty, Junfeng Yang, Baishakhi Ray, Suman Jana

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

Unified Pre-training for Program Understanding and Generation.

Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On Multi-Modal Learning of Editing Source Code.

Saikat Chakraborty, Baishakhi Ray

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

Understanding Local Robustness of Deep Neural Networks under Natural Variations.

Ziyuan Zhong, Yuchi Tian, Baishakhi Ray

Proceedings of the Fundamental Approaches to Software Engineering, 2021

Retrieval Augmented Code Generation and Summarization.

Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

PMFuzz: test case generation for persistent memory programs.

Sihang Liu, Suyash Mahar, Baishakhi Ray, Samira Manabi Khan

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity.

Kexin Pei, Zhou Xuan, Junfeng Yang, Suman Jana, Baishakhi Ray

CoRR, 2020

CADET: A Systematic Method For Debugging Misconfigurations using Counterfactual Reasoning.

Rahul Krishna, Md Shahriar Iqbal, Mohammad Ali Javidian, Baishakhi Ray, Pooyan Jamshidi

CoRR, 2020

Understanding Spatial Robustness of Deep Neural Networks.

Ziyuan Zhong, Yuchi Tian, Baishakhi Ray

CoRR, 2020

Deep Learning & Software Engineering: State of Research and Future Directions.

Prem Devanbu, Matthew B. Dwyer, Sebastian G. Elbaum, Michael Lowry, Kevin Moran, Denys Poshyvanyk, Baishakhi Ray, Rishabh Singh, Xiangyu Zhang

CoRR, 2020

Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations.

Vaggelis Atlidakis, Roxana Geambasu, Patrice Godefroid, Marina Polishchuk, Baishakhi Ray

CoRR, 2020

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.

Dongdong She, Yizheng Chen, Abhishek Shah, Baishakhi Ray, Suman Jana

Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

MTFuzz: fuzzing with a multi-task neural network.

Dongdong She, Rahul Krishna, Lu Yan, Suman Jana, Baishakhi Ray

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

Patching as Translation: the Data and the Metaphor.

Yangruibo Ding, Baishakhi Ray, Premkumar T. Devanbu, Vincent J. Hellendoorn

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

Testing DNN image classifiers for confusion & bias errors.

Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Gail E. Kaiser, Baishakhi Ray

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

An Empirical Study on the Use and Misuse of Java 8 Streams.

Raffi Khatchadourian, Yiming Tang, Mehdi Bagherzadeh, Baishakhi Ray

Proceedings of the Fundamental Approaches to Software Engineering, 2020

Multitask Learning Strengthens Adversarial Robustness.

Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song, Junfeng Yang, Carl Vondrick

Proceedings of the Computer Vision - ECCV 2020, 2020

A Transformer-based Approach for Source Code Summarization.

Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Bringing Engineering Rigor to Deep Learning.

Kexin Pei, Shiqi Wang, Yuchi Tian, Justin Whitehouse, Carl Vondrick, Yinzhi Cao, Baishakhi Ray, Suman Jana, Junfeng Yang

ACM SIGOPS Oper. Syst. Rev., 2019

Cross-project code clones in GitHub.

Mohammad Gharehyazie, Baishakhi Ray, Mehdi Keshani, Masoumeh Soleimani Zavosht, Abbas Heydarnoori, Vladimir Filkov

Empir. Softw. Eng., 2019

Rebuttal to Berger et al., TOPLAS 2019.

Baishakhi Ray, Prem Devanbu, Vladimir Filkov

CoRR, 2019

Unrestricted Adversarial Attacks for Semantic Segmentation.

Guangyu Shen, Chengzhi Mao, Junfeng Yang, Baishakhi Ray

CoRR, 2019

Neutaint: Efficient Dynamic Taint Analysis with Neural Networks.

Dongdong She, Yizheng Chen, Baishakhi Ray, Suman Jana

CoRR, 2019

Testing Deep Neural Network based Image Classifiers.

Yuchi Tian, Ziyuan Zhong, Vicente Ordonez, Baishakhi Ray

CoRR, 2019

NEUZZ: Efficient Fuzzing with Neural Program Smoothing.

Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Toward Optimal Selection of Information Retrieval Models for Software Engineering Tasks.

Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray

Proceedings of the 19th International Working Conference on Source Code Analysis and Manipulation, 2019

Metric Learning for Adversarial Robustness.

Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Tree2Tree Neural Translation Model for Learning Source Code Changes.

Saikat Chakraborty, Miltiadis Allamanis, Baishakhi Ray

CoRR, 2018

A Case Study on the Impact of Similarity Measure on Information Retrieval based Software Engineering Tasks.

Md. Masudur Rahman, Saikat Chakraborty, Gail E. Kaiser, Baishakhi Ray

CoRR, 2018

NEUZZ: Efficient Fuzzing with Neural Program Learning.

Dongdong She, Kexin Pei, Dave Epstein, Junfeng Yang, Baishakhi Ray, Suman Jana

CoRR, 2018

Entropy Guided Spectrum Based Bug Localization Using Statistical Language Model.

Saikat Chakraborty, Yujian Li, Matt Irvine, Ripon Saha, Baishakhi Ray

CoRR, 2018

Recommending GitHub Projects for Developer Onboarding.

Chao Liu, Dan Yang, Xiaohong Zhang, Baishakhi Ray, Md. Masudur Rahman

IEEE Access, 2018

Obfuscation resilient search through executable classification.

Fang-Hsiang Su, Jonathan Bell, Gail E. Kaiser, Baishakhi Ray

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages, 2018

Evaluating how developers use general-purpose web-search for code retrieval.

Md. Masudur Rahman, Jed Barson, Sydney Paul, Joshua Kayani, Federico Andres Lois, Sebastian Fernandez Quezada, Christopher Parnin, Kathryn T. Stolee, Baishakhi Ray

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

Replay without recording of production bugs for service oriented applications.

Nipun Arora, Jonathan Bell, Franjo Ivancic, Gail E. Kaiser, Baishakhi Ray

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

DeepTest: automated testing of deep-neural-network-driven autonomous cars.

Yuchi Tian, Kexin Pei, Suman Jana, Baishakhi Ray

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

Which similarity metric to use for software documents?: a study on information retrieval based software engineering tasks.

Md. Masudur Rahman, Saikat Chakraborty, Baishakhi Ray

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

A recommender system for developer onboarding.

Chao Liu, Dan Yang, Xiaohong Zhang, Haibo Hu, Jed Barson, Baishakhi Ray

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

Searching for high-performing software configurations with metaheuristic algorithms.

Chong Tang, Kevin J. Sullivan, Baishakhi Ray

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

Building Language Models for Text with Named Entities.

Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Interpreted Formalisms for Configurations.

Chong Tang, Kevin J. Sullivan, Jian Xiang, Trent Weiss, Baishakhi Ray

CoRR, 2017

A large-scale study of programming languages and code quality in GitHub.

Baishakhi Ray, Daryl Posnett, Premkumar T. Devanbu, Vladimir Filkov

Commun. ACM, 2017

Automatically diagnosing and repairing error handling bugs in C.

Yuchi Tian, Baishakhi Ray

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

Some from here, some from there: cross-project code reuse in GitHub.

Mohammad Gharehyazie, Baishakhi Ray, Vladimir Filkov

Proceedings of the 14th International Conference on Mining Software Repositories, 2017

GitcProc: a tool for processing and classifying GitHub commits.

Casey Casalnuovo, Yagnik Suchak, Baishakhi Ray, Cindy Rubio-González

Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, Santa Barbara, CA, USA, July 10, 2017

2016

Automatically Detecting Error Handling Bugs Using Error Specifications.

Suman Jana, Yuan Jochen Kang, Samuel Roth, Baishakhi Ray

Proceedings of the 25th USENIX Security Symposium, 2016

APEx: automated inference of error specifications for C APIs.

Yuan Jochen Kang, Baishakhi Ray, Suman Jana

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

On the "naturalness" of buggy code.

Baishakhi Ray, Vincent J. Hellendoorn, Saheel Godhane, Zhaopeng Tu, Alberto Bacchelli, Premkumar T. Devanbu

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

A large ecosystem study to understand the effect of programming languages on code quality.

Baishakhi Ray, Daryl Posnett

Proceedings of the Perspectives on Data Science for Software Engineering, 2016

2015

On the "Naturalness" of Buggy Code.

Baishakhi Ray, Vincent J. Hellendoorn, Zhaopeng Tu, Connie Nguyen, Saheel Godhane, Alberto Bacchelli, Premkumar T. Devanbu

CoRR, 2015

The Uniqueness of Changes: Characteristics and Applications.

Baishakhi Ray, Meiyappan Nagappan, Christian Bird, Nachiappan Nagappan, Thomas Zimmermann

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Assert Use in GitHub Projects.

Casey Casalnuovo, Premkumar T. Devanbu, Abílio Oliveira, Vladimir Filkov, Baishakhi Ray

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

Gender and Tenure Diversity in GitHub Teams.

Bogdan Vasilescu, Daryl Posnett, Baishakhi Ray, Mark G. J. van den Brand, Alexander Serebrenik, Premkumar T. Devanbu, Vladimir Filkov

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 2015

2014

Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations.

Chad Brubaker, Suman Jana, Baishakhi Ray, Sarfraz Khurshid, Vitaly Shmatikov

Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

2013

Detecting and characterizing semantic inconsistencies in ported code.

Baishakhi Ray, Miryung Kim, Suzette Person, Neha Rungta

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

An Empirical Study of API Stability and Adoption in the Android Ecosystem.

Tyler McDonnell, Baishakhi Ray, Miryung Kim

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013

2012

REPERTOIRE: a cross-system porting analysis tool for forked software projects.

Baishakhi Ray, Christopher Wiley, Miryung Kim

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

A case study of cross-system porting in forked projects.

Baishakhi Ray, Miryung Kim

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

An empirical study of supplementary bug fixes.

Jihun Park, Miryung Kim, Baishakhi Ray, Doo-Hwan Bae

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

2011

PTask: operating system abstractions to manage GPUs as compute devices.

Christopher J. Rossbach, Jon Currey, Mark Silberstein, Baishakhi Ray, Emmett Witchel

Proceedings of the 23rd ACM Symposium on Operating Systems Principles 2011, 2011

2009

Touch Me Wear: Getting Physical with Social Networks.

Aaron Beach, Baishakhi Ray, Leah Buechley

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

WhozThat? evolving an ecosystem for context-aware mobile social networks.

Aaron Beach, Mike Gartrell, Sirisha Akkala, Jack Elston, John Kelley, Keisuke Nishimoto, Baishakhi Ray, Sergei Razgulin, Karthik Sundaresan, Bonnie Surendar, Michael Terada, Richard Han

IEEE Netw., 2008

A Protocol for Building Secure and Reliable Covert Channel.

Baishakhi Ray, Shivakant Mishra

Proceedings of the Sixth Annual Conference on Privacy, Security and Trust, 2008

Secure and reliable covert channel.

Baishakhi Ray, Shivakant Mishra

Proceedings of the 4th annual workshop on Cyber security and information intelligence research, 2008