4 citations · 5 across the 4 of their papers we have counts for
5 papers
Noisy Issues, Noisy Results: Mislabeling in Information Retrieval-based Bug Localization
Moumita Asad, Rafed Muhammad Yasir, Yirui He +2
Information Retrieval-based Bug Localization (IRBL) leverages bug reports to identify faulty source files. Evaluations of IRBL approaches primarily rely on labeled issues from issu…
Towards Explorative IRBL: Combining Semantic Retrieval with LLM-driven Iterative Code Exploration
Moumita Asad, Rafed Muhammad Yasir, Sam Malek
Information Retrieval-based Bug Localization (IRBL) aims to identify buggy source files for a given bug report. Traditional and deep learning-based IRBL techniques often suffer fro…
Traffic Congestion Prediction Using Machine Learning Techniques
Rafed Muhammad Yasir, Moumita Asad, Naushin Nower +1
The prediction of traffic congestion can serve a crucial role in making future decisions. Although many studies have been conducted regarding congestion, most of these could not co…
Defect Prediction Using Stylistic Metrics
Rafed Muhammad Yasir, Ahmedul Kabir
Defect prediction is one of the most popular research topics due to its potential to minimize software quality assurance efforts. Existing approaches have examined defect predictio…
Exploring the Impact of Code Style in Identifying Good Programmers
Rafed Muhammad Yasir, Ahmedul Kabir
Code style is an aesthetic choice exhibited in source code that reflects programmers individual coding habits. This study is the first to investigate whether code style can be used…