3 citations · 5 across the 8 of their papers we have counts for
8 papers
An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?
Hyunjae Suh, Mahan Tafreshipour, Jiawei Li +2
Artificial Intelligence (AI) techniques, especially Large Language Models (LLMs), have started gaining popularity among researchers and software developers for generating source co…
Does Documentation Matter? An Empirical Study of Practitioners' Perspective on Open-Source Software Adoption
Aaron Imani, Shiva Radmanesh, Iftekhar Ahmed +1
In recent years, open-source software (OSS) has become increasingly prevalent in developing software products. While OSS documentation is the primary source of information provided…
Beyond Self-learned Attention: Mitigating Attention Bias in Transformer-based Models Using Attention Guidance
Jiri Gesi, Iftekhar Ahmed
Transformer-based models have demonstrated considerable potential for source code modeling tasks in software engineering. However, they are limited by their dependence solely on au…
What Makes a Great Software Quality Assurance Engineer?
Roselane Silva Farias, Iftekhar Ahmed, Eduardo Santana de Almeida
Software Quality Assurance (SQA) Engineers are responsible for assessing a product during every phase of the software development process to ensure that the outcomes of each phase…
Finding the Needle in a Haystack: Detecting Bug Occurrences in Gameplay Videos
Andrew Truelove, Shiyue Rong, Eduardo Santana de Almeida +1
The presence of bugs in video games can bring significant consequences for developers. To avoid these consequences, developers can leverage gameplay videos to identify and fix thes…
Automated Repair of Declarative Software Specifications in the Era of Large Language Models
Md Rashedul Hasan, Jiawei Li, Iftekhar Ahmed +1
The growing adoption of declarative software specification languages, coupled with their inherent difficulty in debugging, has underscored the need for effective and automated repa…