Test-Driven Development and LLM-based Code Generation
Noble Saji Mathews, Meiyappan Nagappan
To appear in Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering
Writing on Software Engineering, AI, and the intersection of the two.
My published research in reverse chronological order. (* denotes shared first authorship)
FuzzSlice: Pruning false positives in static analysis warnings through function-level fuzzing
Muralli Anirudhan, Noble Saji Mathews, Meiyappan Nagappan
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering
Whodunit: Classifying Code as Human Authored or GPT-4 generated-A case study on CodeChef problems
Joy Idialu, Noble Saji Mathews, Rungroj Maipradit, Joanne Atlee, Meiyappan Nagappan
Proceedings of the 21st International Conference on Mining Software Repositories. 2024
On the Impact of Multiple Source Code Representations on Software Engineering Tasks—An Empirical Study
Karthik Swarna, Noble Saji Mathews, Dheeraj Vagavolu, Sridhar Chimalakonda
Journal of Systems and Software 210 (2024): 111941
COMEX: A Tool for Generating Customized Source Code Representations
Debeshee Das*, Noble Saji Mathews*, Alex Mathai, Srikanth Tamilselvam, Kranthi Sedamaki, Sridhar Chimalakonda, Atul Kumar
In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) (pp. 2054-2057). IEEE
Exploring Security Vulnerabilities in Competitive Programming
Debeshee Das*, Noble Saji Mathews*, Sridhar Chimalakonda
Proc. International Conference on Evaluation and Assessment in Software Engineering (EASE), June 2022
AiR: An Augmented Reality Application for Visualizing Air Pollution
Noble Saji Mathews, Sridhar Chimalakonda, and Suresh Jain
Proc. IEEE Visualization Conference (VIS), October 2021
YTCoder - Towards Turning YouTube into a Development Environment
Noble Saji Mathews, Sridhar Chimalakonda, and Akhila Sri Manasa Venigalla
Proc. ACM Computer Supported Cooperative Work and Social Computing (CSCW), October 2020
Select Pre-prints
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
Alex Mathai*, Kranthi Sedamaki*, Debeshee Das*, Noble Saji Mathews*, Srikanth Tamilselvam, Sridhar Chimalakonda, Atul Kumar
IBM Research
Statically Detecting Buffer Errors in Cross-language Android Applications Written in Java and C/C++
Kishanthan Thangarajah, Noble Saji Mathews, Michael Pu, Meiyappan Nagappan, Yousra Aafer, Sridhar Chimalakonda
Undergrad Research
DEVAA: A Framework for Detecting Exploitable Vulnerabilities in Android Applications
Noble Saji Mathews, Meiyappan Nagappan, Sridhar Chimalakonda
Mitacs Whitepaper