Rangeet Pan is a staff research scientist at the IBM T.J. Watson Research Center, Yorktown Heights. His research interests are in the field of software engineering focusing on program analysis and the use of large language models. He received his Ph.D. degree from the Department of Computer Science at Iowa State University. His supervisor was Dr. Hridesh Rajan. His Ph.D. works are focused on understanding the characteristics of deep learning software and applying various programming techniques, e.g., enabling decomposition in deep learning-based models. His work on decomposing deep neural networks into modules has been awarded the ACM SIGSOFT Distinguished Paper award at ESEC/FSE, 2020. He won 2nd place at the ACM Student Research Competition at ICSE, 2020. He has also been awarded the Research Excellence Award and Robert Stewart Early Research Recognition from the Department of Computer Science at Iowa State University. His works at IBM Research have been focused on the use of static analysis and large language models (LLM) in various code-related tasks, e.g., code translation, test generation, etc. He has also developed a Python library named CLDK to analyze code. His works are published at the top two research venues in software engineering, ESEC/FSE and ICSE. He has been a program committee member at ESEC/FSE and ICSE for the research track. He served as Web Chair for SPLASH, 2020 and 2021. He has reviewed several papers from the IEEE Transactions on Software Engineering (TSE), Mining Software Repository, and Springer Empirical Software Engineering. Google Scholar: https://scholar.google.com/citations?user=w2vz7HoAAAAJ&hl=en/ Myeongsoo Kim (summer 2024), Georgia Tech, currently at Amazon Science Ali Reza Ibrahimreza (summer 2023 and 2024), Ph.D. candidate at UIUC SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents Rangeet Pan Raju Pavuluri et al. 2026 ICSE 2026 Conference paper SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents Rangeet Pan Raju Pavuluri et al. Hamster: A Large-Scale Study and Characterization of Developer-Written Tests Rangeet Pan Tyler Stennett et al. 2026 ICSE 2026 Conference paper Hamster: A Large-Scale Study and Characterization of Developer-Written Tests Rangeet Pan Tyler Stennett et al. Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study Michele Merler Rangeet Pan et al. 2026 ICSE 2026 Workshop paper Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study Michele Merler Rangeet Pan et al. AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation Ali Reza Ibrahimzada Kaiyao Ye et al. 2025 FSE 2025 Conference paper AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation Ali Reza Ibrahimzada Kaiyao Ye et al. Ali Reza Ibrahimzada

ASTER: Natural and Multi-language Unit Test Generation with LLMs Rangeet Pan Myeongsoo Kim et al. 2025 ICSE 2025 Conference paper ASTER: Natural and Multi-language Unit Test Generation with LLMs Rangeet Pan Myeongsoo Kim et al. Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights Tool Demo Rahul Krishna Rangeet Pan et al. 2025 ICSE 2025 Tutorial Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights Tool Demo Rahul Krishna Rangeet Pan et al. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code Rangeet Pan Ali Reza Ibrahimzada et al. 2024 ICSE 2024 Conference paper Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code Rangeet Pan Ali Reza Ibrahimzada et al. Ali Reza Ibrahimzada Towards Supporting Universal Static Analysis using WALA Rahul Krishna Raju Pavuluri et al. 2023 PLDI 2023 Tutorial Towards Supporting Universal Static Analysis using WALA Rahul Krishna Raju Pavuluri et al. 09 Feb 2026 US 12547525 Validation Of Code Translation Using Intermediate Representation Validation Of Code Translation Using Intermediate Representation ASTER: Natural and multi-language unit test generation with LLMs Technical note Rangeet Pan, Rahul Krishna, Raju Pavuluri, and Saurabh Sinha 30 Apr 2025 AI AI Testing ASTER: Natural and multi-language unit test generation with LLMs Simplify your Code LLM solutions using CodeLLM DevKit Technical note Rangeet Pan, Rahul Krishna, Saurabh Sinha, Raju Pavuluri, and Maja Vukovic 10 Sep 2024 AI Foundation Models Simplify your Code LLM solutions using CodeLLM DevKit Foundation Models Top collaborators