Rangeet Pan

33 papers A* 7Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study.
CoRR
Maja Vukovic, Rangeet Pan, Tin Kam Ho, Rahul Krishna, Raju Pavuluri, Michele Merler
2025 — conf
ASTER: Natural and Multi-Language Unit Test Generation with LLMs.
SEIP@ICSE
Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha
2025 J jnl
Advancing Automated In-Isolation Validation in Repository-Level Code Translation.
CoRR
Kaiyao Ke, Ali Reza Ibrahimzada, Rangeet Pan, Saurabh Sinha, Reyhaneh Jabbarvand
2025 J jnl
AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation.
Proc. ACM Softw. Eng.
Ali Reza Ibrahimzada, Kaiyao Ke, Mrigank Pawagi, Muhammad Salman Abid, Rangeet Pan, Saurabh Sinha, Reyhaneh Jabbarvand
2025 — conf
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights.
SIGSOFT FSE Companion
Rahul Krishna, Rangeet Pan, Saurabh Sinha, Srikanth Tamilselvam, Raju Pavuluri, Maja Vukovic
2025 J jnl
Hamster: A Large-Scale Study and Characterization of Developer-Written Tests.
CoRR
Rangeet Pan, Tyler Stennett, Raju Pavuluri, Nate Levin, Alessandro Orso, Saurabh Sinha
2025 A* conf
Otter: Generating Tests from Issues to Validate SWE Patches.
ICML
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan, Avraham Shinnar, Saurabh Sinha, Martin Hirzel
2025 J jnl
Otter: Generating Tests from Issues to Validate SWE Patches.
CoRR
Toufique Ahmed, Jatin Ganhotra, Rangeet Pan, Avraham Shinnar, Saurabh Sinha, Martin Hirzel
2025 J jnl
SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents.
CoRR
Rangeet Pan, Raju Pavuluri, Ruikai Huang, Rahul Krishna, Tyler Stennett, Alessandro Orso, Saurabh Sinha
2024 J jnl
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights.
CoRR
Rahul Krishna, Rangeet Pan, Raju Pavuluri, Srikanth Tamilselvam, Maja Vukovic, Saurabh Sinha
2024 A* conf
Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code.
ICSE
Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
2024 J jnl
Multi-language Unit Test Generation using LLMs.
CoRR
Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha
2024 J jnl
Repository-Level Compositional Code Translation and Validation.
CoRR
Ali Reza Ibrahimzada, Kaiyao Ke, Mrigank Pawagi, Muhammad Salman Abid, Rangeet Pan, Saurabh Sinha, Reyhaneh Jabbarvand
2024 J jnl
TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?
CoRR
Toufique Ahmed, Martin Hirzel, Rangeet Pan, Avraham Shinnar, Saurabh Sinha
2023 A* conf
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.
ICSE
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
2023 J jnl
Understanding the Effectiveness of Large Language Models in Code Translation.
CoRR
Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand
2022 J jnl
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.
CoRR
Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan
2022 A* conf
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules.
ICSE
Rangeet Pan, Hridesh Rajan
2022 J jnl
Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.
CoRR
Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan
2022 A* conf
Manas: Mining Software Repositories to Assist AutoML.
ICSE
Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan
2021 A* conf
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis.
ICSE
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
2021 J jnl
Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis.
CoRR
Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman
2021 J jnl
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules.
CoRR
Rangeet Pan, Hridesh Rajan
2021 J jnl
Manas: Mining Software Repositories to Assist AutoML.
CoRR
Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan
2020 — conf
Does fixing bug increase robustness in deep learning?
ICSE (Companion Volume)
Rangeet Pan
2020 — conf
On decomposing a deep neural network into modules.
ESEC/SIGSOFT FSE
Rangeet Pan, Hridesh Rajan
2020 J jnl
Repairing Deep Neural Networks: Fix Patterns and Challenges.
CoRR
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
2020 A* conf
Repairing deep neural networks: fix patterns and challenges.
ICSE
Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan
2019 J jnl
A Comprehensive Study on Deep Learning Bug Characteristics.
CoRR
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
2019 — conf
A comprehensive study on deep learning bug characteristics.
ESEC/SIGSOFT FSE
Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan
2019 J jnl
Identifying Classes Susceptible to Adversarial Attacks.
CoRR
Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan
2019 — conf
Static deep neural network analysis for robustness.
ESEC/SIGSOFT FSE
Rangeet Pan
2019 J jnl
What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow.
CoRR
Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan