Preprint

• V. Koka, Ramanand, S. Mondal, and Y. K. Meena, Evaluation of the Impact of Image Mutations on the Origin Classification of Digital Images, Information and Software Technology (IST), (24 pages), (under review), 2025.

• M. P. Potta, S. Mondal, and Y. K. Meena, Evaluating Pre-trained Large Language Models using Simulated Human Inputs for Python Code Generation, Available at (SSRN), (29 pages), (preprint), 2025.

• S. Mondal, T.H. Chen, On Rank Aggregating Test Prioritizations, arXiv Technical Report (arXiv), (23 pages), November 2024 (2024).

2026

• B. Srivibhav, K. S. Reddy, N. N. Bhuvith, K. E. S. Ganesh, and S. Mondal, A Localization Framework for Reasoning Faults in LLM-based Code Agents, The 48th IEEE/ACM International Conference on Software Engineering (ICSE), (Industry Challenge Track Track), (10 pages), April 2026, (2026).

• L. Sharma, H. Kubadia, A. Mantri, and S. Mondal, MutEval: NL-PL Prompt Mutation Framework for Robustness Evaluation of Code LLMs, The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), (Tool Demo. Track), (5 pages), March 2026, (2026).

2025

• Y. K. Meena, S. Mondal, and M. P. Potta, Muteract: Interactive and Iterative Prompt Mutation Interface for LLM Developers and Evaluators, The 16th International Conference of Human-Computer Interaction (HCI) Design & Research (India HCI), (13 pages), 2025.

• D. Yadav, S. Mondal, Evaluating Pre-trained Large Language Models on Zero Shot Prompts for Parallelization of Source Code, Journal of Systems and Software (JSS), (24 pages), June 2025 (2025).

2024

• W. Liu, S. Mondal, T.H. Chen, An Empirical Study on the Characteristics of Database Access Bugs in Java Applications, The ACM Transactions on Software Engineering and Methodology (TOSEM) Journal, (25 pages), May 2024 (2024).

• S. B. Chavan, S. Mondal, Do Large Language Models Recognize Python Identifier Swaps in their Generated Code?, The ACM International Conference on Foundations of Software Engineering (FSE), (Posters Track), (2 pages), July 2024 (2024).

• H. Patel, K. A. Shah, S. Mondal, Do Large Language Models Generate Similar Codes from Mutated Prompts?: A Case Study of Gemini Pro, The ACM International Conference on Foundations of Software Engineering (FSE), (Posters Track), (2 pages), July 2024 (2024).

• S. K. Avula, S. Mondal, MineCPP: Mining Bug Fix Pairs and Their Structures, The ACM International Conference on Foundations of Software Engineering (FSE), (Tool Demo. Track), (5 pages), July 2024 (2024).

• Z. Ma, S. Mondal, T.H. Chen, H. Zhang, A.E. Hassan, VulNet: Towards Improving Vulnerability Management in the Maven Ecosystem, Empirical Software Engineering (EMSE) Journal (25 pages), January 2024 (2024). Also accepted in the Journal-First track of ICSE 2025.

2023

• S. K. Avula, V. Vobbilisetti, S. Mondal, Minecraft: Automated Mining of Software Bug Fixes with Precise Code Context, 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), (Industry Challenge Track), (11 pages), September 2023 (2023).

2022

• S. Mondal, and R. Nasre, A method for consensus prioritization of regression test-cases supported by parallel execution windows. Appliant(s)/assignee(s): IIT Madras. (Indian Patent 386511) (2022).

2021

• S. Mondal, and R. Nasre, Colosseum: Regression Test Prioritization by Delta Displacement in Test Coverage, IEEE Transactions on Software Engineering (TSE), (early access), (14 pages), pp. 1-1, September 2021 (2021). Also accepted in the Journal-First track of ICST 2023.

• S. Mondal, D. Silva, and M. d'Amorim, Soundy Automated Parallelization of Test Execution, IEEE International Conference on Software Maintenance and Evolution (ICSME), (11 pages), pp. 309-319, Luxembourg, 27 Sept.-1 Oct. 2021 (2021). 

• S. Mondal, and R. Nasre, Hansie: Hybrid and Consensus Regression Test Prioritization, Journal of Systems and Software (JSS), (37 pages), Volume 172, February 2021, 110850 (2021). Also accepted in the Journal-First track of ICST 2021.

2019

• S. Mondal, and R. Nasre, Mahtab: Phase-wise acceleration of regression testing for C, Journal of Systems and Software (JSS), (24 pages), Volume 158, December 2019, 110403 (2019). Also accepted in the Journal-First track of ICST 2020.

2018

• A. Sarkar, A. Biswas, M. Dutt, and S. Mondal, Finding Shortest Triangular Path and its Family inside a Digital Object, Fundamenta Informaticae, (29 pages) vol. 159, pp. 297-325, DOI 10.3233/FI-2018-1666, February 2018 (2018).

2016

• S. Mondal, Construction of Hexagonal Hull of a Digital Object, accepted in the 2016 IEEE Students' Technology Symposium (TechSym 2016), (6 pages), Indian Institute of Technology, Kharagpur, India (2016).

• A. Sarkar, A. Biswas, S. Mondal, and M. Dutt, Finding Shortest Triangular Path in a Digital Object, in Proceedings of the 19th IAPR International Conference on Discrete Geometry for Computer Imagery: DGCI'16, (12 pages), Nantes, France, Springer-Verlag, LNCS, vol. 9647, pp. 206-218, April 18-20 (2016).

2014

• S. Mondal, and A. Banerjee, ESDF: Ensemble Selection using Diversity and Frequency, in Proceedings of the National Conference on Research Trends in Computer Science and Application: NCRTCSA-2014, (7 pages), Siliguri, India, pp. 28-33 (2014).