SUT: Active Defects Probing for Transcompiler Models
Yufan Huang, Mengnan Qi, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin Clement, Neel Sundaresan
2023 Empirical Methods in Natural Language Processing | December 2023
Neel Sundaresan
Vice President, AI and Cloud
Publications
Publications by Year
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AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
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Program Merge Conflict Resolution via Neural Transformers
Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu Lahiri, Elizabeth Dinella
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '22) | November 2022
DeepDev-PERF: A Deep Learning-Based Approach for Improving Software Performance
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin Clement, Neel Sundaresan, Chen Wu
ESEC/FSE | August 2022
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano
Foundations of Software Engineering | August 2022
Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
Methods2Test: A dataset of focal methods mapped to test cases
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022 International Conference on Mining Software Repositories (MSR) | May 2022
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin Clement, Guillermo Serrato, Neel Sundaresan
February 2022
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Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
Distilling Transformers for Neural Cross-Domain Search
Colin Clement, Chen Wu, Dawn Drain, Neel Sundaresan
August 2021
PerfLens: A Data-Driven Performance Bug Detection and Fix Platform
Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan, Chen Wu, Spandan Garg
SOAP ’21 | June 2021
Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
PLDI 2021 | April 2021
Publications by Research Area
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InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
Program Merge Conflict Resolution via Neural Transformers
Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu Lahiri, Elizabeth Dinella
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '22) | November 2022
DeepDev-PERF: A Deep Learning-Based Approach for Improving Software Performance
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin Clement, Neel Sundaresan, Chen Wu
ESEC/FSE | August 2022
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano
Foundations of Software Engineering | August 2022
Methods2Test: A dataset of focal methods mapped to test cases
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022 International Conference on Mining Software Repositories (MSR) | May 2022
Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
PerfLens: A Data-Driven Performance Bug Detection and Fix Platform
Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan, Chen Wu, Spandan Garg
SOAP ’21 | June 2021
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SUT: Active Defects Probing for Transcompiler Models
Yufan Huang, Mengnan Qi, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin Clement, Neel Sundaresan
2023 Empirical Methods in Natural Language Processing | December 2023
DeepDev-PERF: A Deep Learning-Based Approach for Improving Software Performance
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin Clement, Neel Sundaresan, Chen Wu
ESEC/FSE | August 2022
Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin Clement, Guillermo Serrato, Neel Sundaresan
February 2022
Distilling Transformers for Neural Cross-Domain Search
Colin Clement, Chen Wu, Dawn Drain, Neel Sundaresan
August 2021
Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
PLDI 2021 | April 2021
-
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano
Foundations of Software Engineering | August 2022
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
Publications by Type
-
SUT: Active Defects Probing for Transcompiler Models
Yufan Huang, Mengnan Qi, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin Clement, Neel Sundaresan
2023 Empirical Methods in Natural Language Processing | December 2023
InferFix: End-to-End Program Repair with LLMs over Retrieval-Augmented Prompts
Matthew Jin, Syed Shahriar, Michele Tufano, Xin Shi, Shuai Lu, Neel Sundaresan, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
AdaptivePaste: Intelligent Copy-Paste in IDE
Xiaoyu Liu, Jinu Jang, Neel Sundaresan, Miltos Allamanis, Alexey Svyatkovskiy
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '23) | December 2023
Program Merge Conflict Resolution via Neural Transformers
Alexey Svyatkovskiy, Sarah Fakhoury, Negar Ghorbani, Todd Mytkowicz, Christian Bird, Jinu Jang, Neel Sundaresan, Shuvendu Lahiri, Elizabeth Dinella
The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE '22) | November 2022
DeepDev-PERF: A Deep Learning-Based Approach for Improving Software Performance
Spandan Garg, Roshanak Zilouchian Moghaddam, Colin Clement, Neel Sundaresan, Chen Wu
ESEC/FSE | August 2022
Exploring and Evaluating Personalized Models for Code Generation
Andrei Zlotchevski, Dawn Drain, Alexey Svyatkovskiy, Colin Clement, Neel Sundaresan, Michele Tufano
Foundations of Software Engineering | August 2022
Methods2Test: A dataset of focal methods mapped to test cases
Michele Tufano, Shao Kun Deng, Neel Sundaresan, Alexey Svyatkovskiy
2022 International Conference on Mining Software Repositories (MSR) | May 2022
Learning to Reduce False Positives in Analytic Bug Detectors
Anant Kharkar, Roshanak Zilouchian Moghaddam, Matthew Jin, Xiaoyu Liu, Xin Shi, Colin Clement, Neel Sundaresan
2022 International Conference on Software Engineering | May 2022
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy
Colin Clement, Shuai Lu, Xiaoyu Liu, Michele Tufano, Dawn Drain, Nan Duan, Neel Sundaresan, Alexey Svyatkovskiy
2021 Empirical Methods in Natural Language Processing | October 2021
PerfLens: A Data-Driven Performance Bug Detection and Fix Platform
Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan, Chen Wu, Spandan Garg
SOAP ’21 | June 2021
Generating Bug-Fixes Using Pretrained Transformers
Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan
PLDI 2021 | April 2021
-
Distilling Transformers for Neural Cross-Domain Search
Colin Clement, Chen Wu, Dawn Drain, Neel Sundaresan
August 2021
-
Training and Evaluating a Jupyter Notebook Data Science Assistant
Shubham Chandel, Colin Clement, Guillermo Serrato, Neel Sundaresan
February 2022