VLDB 2026 Research / reviewers in the wild / expert
Kazi Amit Hasan
dblp:344/9998
· DBLP profile ↗
3ranked-venue papers
2as first author
3since 2021 · last 2025
0000-0003-3923-9169ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 2 first-author · 3 since 2021Databases, data management, data science and information retrieval · 2 · 2 first-author · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Understanding Abandonment and Slowdown Dynamics in the Maven EcosystemabstractThe sustainability of libraries is critical for modern software development, yet many libraries face abandonment, posing significant risks to dependent projects. This study explores the prevalence and patterns of library abandonment in the Maven ecosystem. We investigate abandonment trends over the past decade, revealing that approximately one in four libraries fail to survive beyond their creation year. We also analyze the release activities of libraries, focusing on their lifespan and release speed, and analyze the evolution of these metrics within the lifespan of libraries. We find that while slow release speed and relatively long periods of inactivity are often precursors to abandonment, some abandoned libraries exhibit bursts of high frequent release activity late in their life cycle. Our findings contribute to a new understanding of library abandonment dynamics and offer insights for practitioners to identify and mitigate risks in software ecosystems. Kazi Amit Hasan, Jerin Yasmin, Huizi Hao, Yuan Tian 0008, Safwat Hassan, Steven H. H. Ding |
MSR | 1 |
| 2024 | An empirical study on developers' shared conversations with ChatGPT in GitHub pull requests and issues
Huizi Hao, Kazi Amit Hasan, Hong Qin 0014, Marcos Macedo, Yuan Tian 0008, Steven H. H. Ding, Ahmed E. Hassan |
Empir. Softw. Eng. | 2 |
| 2023 | Understanding the Time to First Response in GitHub Pull RequestsabstractThe pull-based development is widely adopted in modern open-source software (OSS) projects, where developers propose changes to the codebase by submitting a pull request (PR). However, due to many reasons, PRs in OSS projects frequently experience delays across their lifespan, including prolonged waiting times for the first response. Such delays may significantly impact the efficiency and productivity of the development process, as well as the retention of new contributors as long-term contributors.In this paper, we conduct an exploratory study on the time-to-first-response for PRs by analyzing 111,094 closed PRs from ten popular OSS projects on GitHub. We find that bots frequently generate the first response in a PR, and significant differences exist in the timing of bot-generated versus human-generated first responses. We then perform an empirical study to examine the characteristics of bot- and human-generated first responses, including their relationship with the PR’s lifetime. Our results suggest that the presence of bots is an important factor contributing to the time-to-first-response in the pull-based development paradigm, and hence should be separately analyzed from human responses. We also report the characteristics of PRs that are more likely to experience long waiting for the first human-generated response. Our findings have practical implications for newcomers to understand the factors contributing to delays in their PRs. Kazi Amit Hasan, Marcos Macedo, Yuan Tian 0008, Bram Adams, Steven H. H. Ding |
MSR | 1 |