27 citations · 96 across the 18 of their papers we have counts for
19 papers
COMMITGUARD: Differential Slice Fuzzing for Commit-Induced Bug Detection
Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel +1
Modern software systems evolve through frequent commits that implement bug fixes, features, and security patches. Although code review and testing are widely used to check these ch…
SNIPTEST: Fuzzing Multi-Level Code Slices for Validating Vulnerabilities
Aniruddhan Murali, Nobble Saji Mathews, Mahmoud Alfadel +2
Modern software systems are increasingly complex, and static analysis tools are commonly used to identify potentially vulnerable code by issuing warnings. However, these warnings o…
What Makes a Good Bug Report for an AI Agent?
Lara Khatib, Noble Saji Mathews, Meiyappan Nagappan +2
Automated program repair (APR) agents are transitioning from research benchmarks to developer workflows, yet they still begin with bug reports written for human developers. While d…
Does SWE-Bench-Verified Test Agent Ability or Model Memory?
Thanosan Prathifkumar, Noble Saji Mathews, Meiyappan Nagappan
SWE-Bench-Verified, a dataset comprising 500 issues, serves as a de facto benchmark for evaluating various large language models (LLMs) on their ability to resolve GitHub issues. B…
AssertFlip: Reproducing Bugs via Inversion of LLM-Generated Passing Tests
Lara Khatib, Noble Saji Mathews, Meiyappan Nagappan
Bug reproduction is critical in the software debugging and repair process, yet the majority of bugs in open-source and industrial settings lack executable tests to reproduce them a…
Is Your Automated Software Engineer Trustworthy?
Noble Saji Mathews, Meiyappan Nagappan
Large Language Models (LLMs) are being increasingly used in software engineering tasks, with an increased focus on bug report resolution over the past year. However, most proposed…
Design choices made by LLM-based test generators prevent them from finding bugs
Noble Saji Mathews, Meiyappan Nagappan
There is an increasing amount of research and commercial tools for automated test case generation using Large Language Models (LLMs). This paper critically examines whether recent…
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
Alex Mathai, Kranthi Sedamaki, Debeshee Das +4
Machine Learning (ML) for software engineering (SE) has gained prominence due to its ability to significantly enhance the performance of various SE applications. This progress is l…
Whodunit: Classifying Code as Human Authored or GPT-4 Generated -- A case study on CodeChef problems
Oseremen Joy Idialu, Noble Saji Mathews, Rungroj Maipradit +2
Artificial intelligence (AI) assistants such as GitHub Copilot and ChatGPT, built on large language models like GPT-4, are revolutionizing how programming tasks are performed, rais…
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection
Noble Saji Mathews, Yelizaveta Brus, Yousra Aafer +2
Despite the continued research and progress in building secure systems, Android applications continue to be ridden with vulnerabilities, necessitating effective detection methods.…
FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
Aniruddhan Murali, Noble Saji Mathews, Mahmoud Alfadel +2
Manual confirmation of static analysis reports is a daunting task. This is due to both the large number of warnings and the high density of false positives among them. Fuzzing tech…
Test-Driven Development for Code Generation
Noble Saji Mathews, Meiyappan Nagappan
Recent Large Language Models (LLMs) have demonstrated significant capabilities in generating code snippets directly from problem statements. This increasingly automated process mir…
COMEX: A Tool for Generating Customized Source Code Representations
Debeshee Das, Noble Saji Mathews, Alex Mathai +4
Learning effective representations of source code is critical for any Machine Learning for Software Engineering (ML4SE) system. Inspired by natural language processing, large langu…
Statically Detecting Buffer Overflow in Cross-language Android Applications Written in Java and C/C++
Kishanthan Thangarajah, Noble Mathews, Michael Pu +3
Many applications are being written in more than one language to take advantage of the features that different languages provide such as native code support, improved performance,…
NoteG: A Computational Notebook to Facilitate Rapid Game Prototyping
Noble Saji Mathews, Sridhar Chimalakonda
Game development-based approaches are increasingly used to design curricula that can engage students, as these can help them apply and practice learnt computer science concepts. Ho…
VedicViz: Towards Visualizing Vedic Principles in Mental Arithmetic
Noble Saji Mathews, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
Augmenting teaching with visualization can help students understand concepts better. Researchers have leveraged visualization to teach conventional mathematics some examples being…
Detox Browser -- Towards Filtering Sensitive Content On the Web
Noble Saji Mathews, Sridhar Chimalakonda
The annual consumption of web-based resources is increasing at a very fast rate, mainly due to an increase in affordability and accessibility of the internet. Many are relying on t…
On the Impact of Multiple Source Code Representations on Software Engineering Tasks -- An Empirical Study
Karthik Chandra Swarna, Noble Saji Mathews, Dheeraj Vagavolu +1
Efficiently representing source code is crucial for various software engineering tasks such as code classification and clone detection. Existing approaches primarily use Abstract S…
AiR -- An Augmented Reality Application for Visualizing Air Pollution
Noble Saji Mathews, Sridhar Chimalakonda, Suresh Jain
Air quality is a term used to describe the concentration levels of various pollutants in the air we breathe. The air quality, which is degrading rapidly across the globe, has been…