4 citations · 4 across the 5 of their papers we have counts for
5 papers
An Empirical Study of Large Language Models for Type and Call Graph Analysis in Python and JavaScript
Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu +3
Large Language Models (LLMs) are increasingly being explored for their potential in software engineering, particularly in static analysis tasks. In this study, we investigate the p…
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir +2
The application of Large Language Models (LLMs) in software engineering, particularly in static analysis tasks, represents a paradigm shift in the field. In this paper, we investig…
Hidden Gems in the Rough: Computational Notebooks as an Uncharted Oasis for IDEs
Sergey Titov, Konstantin Grotov, Ashwin Prasad S. Venkatesh
In this paper, we outline potential ways for the further development of computational notebooks in Integrated Development Environments (IDEs). We discuss notebooks integration with…
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang +3
In light of the growing interest in type inference research for Python, both researchers and practitioners require a standardized process to assess the performance of various type…
Static Analysis Driven Enhancements for Comprehension in Machine Learning Notebooks
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Mouli Chekkapalli +3
Jupyter notebooks enable developers to interleave code snippets with rich-text and in-line visualizations. Data scientists use Jupyter notebook as the de-facto standard for creatin…