3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers
Sarah Fakhoury, Markus Kuppe, Shuvendu Lahiri, Tahina Ramananandro, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
Sarah Fakhoury
Chercheur senior
Papiers de Collaboration
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Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu Lahiri, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
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Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri
The ACM International Conference on the Foundations of Software Engineering (FSE) | July 2024
GitHub page https://github.com/microsoft/nl-2-postcond/
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NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions
Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu Lahiri
2024 International Conference on Software Engineering | May 2024
Poster track
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LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu Lahiri
IEEE Transactions on Software Engineering | April 2024, Vol 50: pp. 2254-2268
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Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury, Madan Musuvathi, Akash Lal, Aseem Rastogi, Nikhil Swamy, Rahul Sharma
2023 Empirical Methods in Natural Language Processing | December 2023
EMNLP-Findings 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
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3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers
Sarah Fakhoury, Markus Kuppe, Shuvendu Lahiri, Tahina Ramananandro, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
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Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu Lahiri, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
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Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri
The ACM International Conference on the Foundations of Software Engineering (FSE) | July 2024
GitHub page https://github.com/microsoft/nl-2-postcond/
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NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions
Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu Lahiri
2024 International Conference on Software Engineering | May 2024
Poster track
-
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu Lahiri
IEEE Transactions on Software Engineering | April 2024, Vol 50: pp. 2254-2268
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Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury, Madan Musuvathi, Akash Lal, Aseem Rastogi, Nikhil Swamy, Rahul Sharma
2023 Empirical Methods in Natural Language Processing | December 2023
EMNLP-Findings 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
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3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers
Sarah Fakhoury, Markus Kuppe, Shuvendu Lahiri, Tahina Ramananandro, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
-
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri
The ACM International Conference on the Foundations of Software Engineering (FSE) | July 2024
GitHub page https://github.com/microsoft/nl-2-postcond/
-
Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury, Madan Musuvathi, Akash Lal, Aseem Rastogi, Nikhil Swamy, Rahul Sharma
2023 Empirical Methods in Natural Language Processing | December 2023
EMNLP-Findings 2023
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-
-
LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation
Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu Lahiri
IEEE Transactions on Software Engineering | April 2024, Vol 50: pp. 2254-2268
-
-
-
3DGen: AI-Assisted Generation of Provably Correct Binary Format Parsers
Sarah Fakhoury, Markus Kuppe, Shuvendu Lahiri, Tahina Ramananandro, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
-
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty, Gabriel Ebner, Siddharth Bhat, Sarah Fakhoury, Sakina Fatima, Shuvendu Lahiri, Nikhil Swamy
2025 International Conference on Software Engineering | April 2025
-
Can Large Language Models Transform Natural Language Intent into Formal Method Postconditions?
Madeline Endres, Sarah Fakhoury, Saikat Chakraborty, Shuvendu Lahiri
The ACM International Conference on the Foundations of Software Engineering (FSE) | July 2024
GitHub page https://github.com/microsoft/nl-2-postcond/
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NL2Fix: Generating Functionally Correct Code Edits from Bug Descriptions
Sarah Fakhoury, Saikat Chakraborty, Madan Musuvathi, Shuvendu Lahiri
2024 International Conference on Software Engineering | May 2024
Poster track
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Ranking LLM-Generated Loop Invariants for Program Verification
Saikat Chakraborty, Shuvendu Lahiri, Sarah Fakhoury, Madan Musuvathi, Akash Lal, Aseem Rastogi, Nikhil Swamy, Rahul Sharma
2023 Empirical Methods in Natural Language Processing | December 2023
EMNLP-Findings 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
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