Published multiple papers including 'ASTER: Natural and Multi-language Unit Test Generation with LLMs' (ICSE 2025 Industry Track) which won the ACM Sigsoft Distinguished Paper Award; 'Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights Tool Demo' (ICSE 2025 Demo Track), and more. Full publication list available on his personal homepage.
Research Experience
At IBM Research, his work has been focused on the use of static analysis and large language models (LLMs) in various code-related tasks, such as code translation, test generation, etc. He has also developed a Python library named CLDK to analyze code.
Background
Research Interests: Software engineering, focusing on program analysis and the use of large language models. Brief Introduction: A staff research scientist at IBM T.J. Watson Research Center.
Miscellany
Contact: rangeet@iastate.edu; Social media links include Twitter, GitHub, LinkedIn, Google Scholar.