Author

Murali Krishna Ramanathan

Observed names: Murali K. Ramanathan, Murali Ramanathan, Ramanathan, Murali Krishna

Observed institutions: University of North Carolina at Chapel Hill, Amazon (United States), Purdue University West Lafayette, Indian Institute of Science Bangalore

ORCID: 0000-0002-6568-017X

Observed ORCID: 0000-0002-6568-017X

OpenAlex ID: A5107242862

Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM

2024 · Gabriel Ryan, Siddhartha Jain, et al. · Proceedings of the ACM on software engineering. · 125

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Scalable and incremental software bug detection

2013 · Scott McPeak, Charles-Henri Gros, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 56

Multithreaded test synthesis for deadlock detection

2014 · Malavika Samak, Murali Krishna Ramanathan · Conference on Object-Oriented Programming Systems, Languages, and Applications · 47

Sieve: A Tool for Automatically Detecting Variations Across Program Versions

2006 · Murali Ramanathan, Ananth Grama, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 39

Multi-lingual Evaluation of Code Generation Models

2022 · Athiwaratkun, Ben, Gouda, Sanjay Krishna, et al. · arXiv (Cornell University) · 38

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CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

2023 · Yangruibo Ding, Zijian Wang, et al. · neural information processing systems · 37

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Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study

2023 · Xiaokai Wei, Sujan Kumar Gonugondla, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 31

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CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context

2024 · Yangruibo Ding, Zijian Wang, et al. · Language Resources and Evaluation Conference (LREC) · 20

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Dyssect: Dynamic Scaling of Stateful Network Functions

2022 · Fabricio B. Carvalho, Ronaldo A. Ferreira, et al. · IEEE Conference on Computer Communications (INFOCOM) · 10

A Static Evaluation of Code Completion by Large Language Models

2023 · Hantian Ding, Varun Kumar, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 8

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Repoformer: Selective Retrieval for Repository-Level Code Completion

2024 · Wu, Di, Ahmad, Wasi Uddin, et al. · arXiv (Cornell University) · 7

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ReCode: Robustness Evaluation of Code Generation Models

2022 · Wang, Shiqi, Li, Zheng, et al. · arXiv (Cornell University) · 7

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LibEvolutionEval: A Benchmark and Study for Version-Specific Code Generation

2025 · Sachit Kuhar, Wasi Uddin Ahmad, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 3

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A Lightweight Polyglot Code Transformation Language

2024 · Ameya Ketkar, Daniel Ramos, et al. · Proceedings of the ACM on Programming Languages · 1

CodeFort: Robust Training for Code Generation Models

2024 · Yuhao Zhang, Shiqi Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1

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Exploring Continual Learning for Code Generation Models

2023 · Yadav, Prateek, Sun, Qing, et al. · arXiv (Cornell University) · 1

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Greener yet Powerful: Taming Large Code Generation Models with Quantization

2023 · Wei, Xiaokai, Gonugondla, Sujan, et al. · arXiv (Cornell University) · 1

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