38 citations · 53 across the 6 of their papers we have counts for
8 papers
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy
Aftab Hussain, Md Rafiqul Islam Rabin, Toufique Ahmed +3
Large language models (LLMs) have provided a lot of exciting new capabilities in software development. However, the opaque nature of these models makes them difficult to reason abo…
Understanding Neural Code Intelligence Through Program Simplification
Md Rafiqul Islam Rabin, Vincent J. Hellendoorn, Mohammad Amin Alipour
A wide range of code intelligence (CI) tools, powered by deep neural networks, have been developed recently to improve programming productivity and perform program analysis. To rel…
Examining user reviews of conversational systems: a case study of Alexa skills
Soodeh Atefi, Andrew Truelove, Matheus Rheinschmitt +3
Conversational systems use spoken language to interact with their users. Although conversational systems, such as Amazon Alexa, are becoming common and afford interesting functiona…
Testing Neural Program Analyzers
Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour
Deep neural networks have been increasingly used in software engineering and program analysis tasks. They usually take a program and make some predictions about it, e.g., bug predi…
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers
Md Rafiqul Islam Rabin, Mohammad Amin Alipour
The correctness of compilers is instrumental in the safety and reliability of other software systems, as bugs in compilers can produce programs that do not reflect the intents of p…
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
Amirreza Shirani, Bowen Xu, David Lo +2
Domain-specific community question answering is becoming an integral part of professions. Finding related questions and answers in these communities can significantly improve the e…