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Rangeet Pan

A comprehensive study on deep learning bug characteristics
2019 · Md Johirul Islam, Giang Nguyen, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 316
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Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
2024 · Rangeet Pan, Ali Reza Ibrahimzada, et al. · IEEE/ACM International Conference on Software Engineering (ICSE) · 133
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Repairing deep neural networks
2020 · Md Johirul Islam, Rangeet Pan, et al. · 106
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On decomposing a deep neural network into modules
2020 · Rangeet Pan, Hridesh Rajan · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 40
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Decomposing convolutional neural networks into reusable and replaceable modules
2022 · Rangeet Pan, Hridesh Rajan · Proceedings/Proceedings - International Conference on Software Engineering · 35
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Repairing Deep Neural Networks: Fix Patterns and Challenges
2020 · Islam, Md Johirul, Pan, Rangeet, et al. · arXiv (Cornell University) · 28
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AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation
2025 · Ali Reza Ibrahimzada, Kaiyao Ke, et al. · Proceedings of the ACM on software engineering. · 26
ASTER: Natural and Multi-Language Unit Test Generation with LLMs
2025 · Rangeet Pan, Myeongsoo Kim, et al. · IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) · 25
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Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis
2021 · Rangeet Pan, Vu Le, et al. · IEEE/ACM International Conference on Software Engineering (ICSE) · 24
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What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow
2019 · Islam, Md Johirul, Nguyen, Hoan Anh, et al. · arXiv (Cornell University) · 19
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Manas
2022 · Giang Nguyen, Md Johirul Islam, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 17
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Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
2023 · Sayem Mohammad Imtiaz, Fraol Batole, et al. · IEEE/ACM International Conference on Software Engineering (ICSE) · 14
Identifying Classes Susceptible to Adversarial Attacks
2019 · Pan, Rangeet, Islam, Md Johirul, et al. · arXiv (Cornell University) · 7
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Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
2023 · Pan, Rangeet, Ibrahimzada, Ali Reza, et al. · arXiv (Cornell University) · 6
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Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights
2025 · Rahul Krishna, Rangeet Pan, et al. · 5
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Static deep neural network analysis for robustness
2019 · Rangeet Pan · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 4
Does fixing bug increase robustness in deep learning?
2020 · Rangeet Pan · ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) · 3
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Usage, Effects and Requirements for AI Coding Assistants in the Enterprise: An Empirical Study
2026 · Michele Merler, Rangeet Pan, et al. · 2
An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models
2022 · Pan, Rangeet, Biswas, Sumon, et al. · arXiv (Cornell University) · 2
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SAINT: Service-level Integration Test Generation with Program Analysis and LLM-based Agents
2026 · Rangeet Pan, Raju Pavuluri, et al. · IEEE/ACM International Conference on Software Engineering (ICSE) · 1
Otter: Generating Tests from Issues to Validate SWE Patches
2025 · Ahmed, Toufique, Ganhotra, Jatin, et al. · arXiv (Cornell University) · 1
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TDD-Bench Verified: Can LLMs Generate Tests for Issues Before They Get Resolved?
2024 · Ahmed, Toufique, Hirzel, Martin, et al. · arXiv (Cornell University) · 1
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Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement
2022 · Imtiaz, Sayem Mohammad, Batole, Fraol, et al. · arXiv (Cornell University) · 1
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Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications
2026 · Rangeet Pan, Tyler Stennett, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE)
Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions
2026 · Tyler Stennett, Rangeet Pan, et al. · Proceedings of the ACM on software engineering.
Works count: 32
Citation count: 816
H-index: 12
I10-index: 12
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