most citedWhodunit: Classifying Code as Human Authored or GPT-4 Generated -- A case study on CodeChef problems

17 citations · 46 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR20244 cited

AddressWatcher: Sanitizer-Based Localization of Memory Leak Fixes

Aniruddhan Murali, Mahmoud Alfadel, Meiyappan Nagappan +2

Memory leak bugs are a major problem in C/C++ programs. They occur when memory objects are not deallocated.Developers need to manually deallocate these objects to prevent memory le…

cs.SE2024

Aligning Programming Language and Natural Language: Exploring Design Choices in Multi-Modal Transformer-Based Embedding for Bug Localization

Partha Chakraborty, Venkatraman Arumugam, Meiyappan Nagappan

Bug localization refers to the identification of source code files which is in a programming language and also responsible for the unexpected behavior of software using the bug rep…

cs.SE202417 cited

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…

cs.CR202411 cited

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.…

cs.SE202413 cited

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…

cs.SE2023

Diversity in Software Engineering Conferences and Journals

Aditya Shankar Narayanan, Dheeraj Vagavolu, Nancy A Day +1

Diversity with respect to ethnicity and gender has been studied in open-source and industrial settings for software development. Publication avenues such as academic conferences an…