Registered user since Fri 10 Mar 2023
Md Fazle Rabbi is a Ph.D. candidate in Computer Science at Idaho State University. His research lies at the intersection of Empirical Software Engineering, Software Security, Software Supply Chain Security, Mining Software Repositories, and Artificial Intelligence for Software Engineering.
His work focuses on the empirical study of software ecosystems, dependencies, vulnerabilities, and software supply chains. He investigates how software artifacts evolve, how security risks propagate through dependencies, and how data-driven techniques can be used to improve software quality, security, and maintenance. His research also explores the application of machine learning and artificial intelligence to software engineering and cybersecurity challenges.
Contributions
2027
Mining Software Repositories
2026
EASE
Mining Software Repositories
- PC Member in Technical Papers - Junior Program Committee within the Junior PC-track
- Author of A Task-Level Evaluation of AI Agents in Open-Source Projects within the Mining Challenge-track
- Committee Member in Mining Challenge - Program Committee within the Mining Challenge-track
- Author of The Quiet Contributions: Insights into AI-Generated Silent Pull Requests within the Mining Challenge-track
2025
Mining Software Repositories
- Author of Insights into Dependency Maintenance Trends in the Maven Ecosystem within the Mining Challenge-track
- Author of Understanding Software Vulnerabilities in the Maven Ecosystem: Patterns, Timelines, and Risks within the Mining Challenge-track
- Author of Chasing the Clock: How Fast Are Vulnerabilities Fixed in the Maven Ecosystem? within the Mining Challenge-track
- Author of Faster Releases, Fewer Risks: A Study on Maven Artifact Vulnerabilities and Lifecycle Management within the Mining Challenge-track
2024
Mining Software Repositories
- Author of ChatGPT in Action: Analyzing Its Use in Software Development within the Mining Challenge-track
- Author of AI Writes, We Analyze: The ChatGPT Python Code Saga within the Mining Challenge-track
- Author of A Four-Dimension Gold Standard Dataset for Opinion Mining in Software Engineering within the Data and Tool Showcase Track-track