Rangeet Pan

According to our database, Rangeet Pan authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Multi-language Unit Test Generation using LLMs.

Rangeet Pan, Myeongsoo Kim, Rahul Krishna, Raju Pavuluri, Saurabh Sinha

CoRR, 2024

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code.

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Understanding the Effectiveness of Large Language Models in Code Translation.

Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, Reyhaneh Jabbarvand

CoRR, 2023

Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.

Sayem Mohammad Imtiaz, Fraol Batole, Astha Singh, Rangeet Pan, Breno Dantas Cruz, Hridesh Rajan

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

An Empirical Study on the Bugs Found while Reusing Pre-trained Natural Language Processing Models.

Rangeet Pan, Sumon Biswas, Mohna Chakraborty, Breno Dantas Cruz, Hridesh Rajan

CoRR, 2022

Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules.

Rangeet Pan, Hridesh Rajan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Manas: Mining Software Repositories to Assist AutoML.

Giang Nguyen, Md Johirul Islam, Rangeet Pan, Hridesh Rajan

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Manas: Mining Software Repositories to Assist AutoML.

Giang Nguyen, Johir Islam, Rangeet Pan, Hridesh Rajan

CoRR, 2021

Can Program Synthesis be Used to Learn Merge Conflict Resolutions? An Empirical Analysis.

Rangeet Pan, Vu Le, Nachiappan Nagappan, Sumit Gulwani, Shuvendu K. Lahiri, Mike Kaufman

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

On decomposing a deep neural network into modules.

Rangeet Pan, Hridesh Rajan

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Does fixing bug increase robustness in deep learning?

Rangeet Pan

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Companion Volume, Seoul, South Korea, 27 June, 2020

Repairing deep neural networks: fix patterns and challenges.

Md Johirul Islam, Rangeet Pan, Giang Nguyen, Hridesh Rajan

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019

What Do Developers Ask About ML Libraries? A Large-scale Study Using Stack Overflow.

Md Johirul Islam, Hoan Anh Nguyen, Rangeet Pan, Hridesh Rajan

CoRR, 2019

Identifying Classes Susceptible to Adversarial Attacks.

Rangeet Pan, Md Johirul Islam, Shibbir Ahmed, Hridesh Rajan

CoRR, 2019

Static deep neural network analysis for robustness.

Rangeet Pan

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

A comprehensive study on deep learning bug characteristics.

Md Johirul Islam, Giang Nguyen, Rangeet Pan, Hridesh Rajan

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019