YTCoder - Towards Turning YouTube into a Development Environment. - Noble Saji Mathews; Sridhar Chimalakonda; Akhila Sri Manasa Venigalla (CSCW Companion, 2020)

AiR: An Augmented Reality Application for Visualizing Air Pollution. - Noble Saji Mathews; Sridhar Chimalakonda; Suresh Jain (IEEE VIS (Short Papers), 2021)

Detox Browser - Towards Filtering Sensitive Content On the Web. - Noble Saji Mathews; Sridhar Chimalakonda (CoRR, 2021)

Exploring Security Vulnerabilities in Competitive Programming: An Empirical Study. - Debeshee Das; Noble Saji Mathews; Sridhar Chimalakonda (EASE, 2022)

VedicViz: Towards Visualizing Vedic Principles in Mental Arithmetic. - Noble Saji Mathews; Akhila Sri Manasa Venigalla; Sridhar Chimalakonda (CoRR, 2022)

NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping. - Noble Saji Mathews; Sridhar Chimalakonda (CoRR, 2022)

COMEX: A Tool for Generating Customized Source Code Representations. - Debeshee Das; Noble Saji Mathews; Alex Mathai; Srikanth Tamilselvam; Kranthi Sedamaki; Sridhar Chimalakonda; Atul Kumar 002 (ASE, 2023)

Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++. - Kishanthan Thangarajah; Noble Saji Mathews; Michael Pu; Meiyappan Nagappan; Yousra Aafer; Sridhar Chimalakonda (CoRR, 2023)

FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing. - Aniruddhan Murali; Noble Saji Mathews; Mahmoud Alfadel; Meiyappan Nagappan; Meng Xu 025 (ICSE, 2024)

Test-Driven Development and LLM-based Code Generation. - Noble Saji Mathews; Meiyappan Nagappan (ASE, 2024)

Whodunit: Classifying Code as Human Authored or GPT-4 generated- A case study on CodeChef problems. - Oseremen Joy Idialu; Noble Saji Mathews; Rungroj Maipradit; Joanne M. Atlee; Meiyappan Nagappan (MSR, 2024)

LLbezpeky: Leveraging Large Language Models for Vulnerability Detection. - Noble Saji Mathews; Yelizaveta Brus; Yousra Aafer; Meiyappan Nagappan; Shane McIntosh (CoRR, 2024)

Test-Driven Development for Code Generation. - Noble Saji Mathews; Meiyappan Nagappan (CoRR, 2024)

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 002 (CoRR, 2024)

Design choices made by LLM-based test generators prevent them from finding bugs. - Noble Saji Mathews; Meiyappan Nagappan (CoRR, 2024)

On the impact of multiple source code representations on software engineering tasks - An empirical study. - Karthik Chandra Swarna; Noble Saji Mathews; Dheeraj Vagavolu; Sridhar Chimalakonda (J. Syst. Softw., 2024)

A Plugin for Cross-Language Static Analysis for Vulnerability Detection in Android Applications. - Kishanthan Thangarajah; Noble Saji Mathews; Meiyappan Nagappan (IDE@ICSE, 2025)

Is Your Automated Software Engineer Trustworthy? - Noble Saji Mathews; Meiyappan Nagappan (CoRR, 2025)

AssertFlip: Reproducing Bugs via Inversion of LLM-Generated Passing Tests. - Lara Khatib; Noble Saji Mathews; Meiyappan Nagappan (CoRR, 2025)