An Empirical Study of Large Language Models for Type and Call Graph Analysis in Python and JavaScript
A.P. Shivarpatna Venkatesh, R. Sunil, S. Sabu, A.M. Mir, S. Reis, E. Bodden, Empirical Software Engineering 30 (2025).

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools
A.P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A.M. Mir, L. Li, E. Bodden, in: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Association for Computing Machinery, New York, NY, USA, 2024, pp. 49–53.

The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks
A.P. Shivarpatna Venkatesh, S. Sabu, A.M. Mir, S. Reis, E. Bodden, in: Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, ACM, 2024.

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis
A.P. Shivarpatna Venkatesh, J. Wang, L. Li, E. Bodden, in: IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023.

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis
A.P. Shivarpatna Venkatesh, J. Wang, L. Li, E. Bodden, in: IEEE SANER 2023 (International Conference on Software Analysis, Evolution and Reengineering), 2023.

Automated Cell Header Generator for Jupyter Notebooks
A.P. Shivarpatna Venkatesh, E. Bodden, in: International Workshop on AI and Software Testing/Analysis (AISTA), 2021.

Dynamic Provisioning of Network Services on Heterogeneous Resources
H. Razzaghi Kouchaksaraei, A.P. Shivarpatna Venkatesh, A. Churi, M. Illian, H. Karl, in: European Conference on Networks and Communications (EUCNC 2020), n.d.

Security Implications Of Compiler Optimizations On Cryptography -- A  Review
A.P. Shivarpatna Venkatesh, A.B. Handadi, M. Mory, ArXiv:1907.02530 (2019).