EDBT 2026 Demo / reviewers in the wild / expert
Priyal Soni
dblp:367/3795
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 67% Software maintenance and evolution · 33% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
mining software repositories |
0.9 | 1 | 2025 | OSSPREY: AI-Driven Forecasting and Intervention for OSS Project Sustainability · ASE 2025 |
Empirical software engineering › open source software
open source sustainability |
0.9 | 1 | 2025 | OSSPREY: AI-Driven Forecasting and Intervention for OSS Project Sustainability · ASE 2025 |
Methods — techniques the papers use, named apart from their topics
transformer · 0.9time-series forecasting · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | OSSPREY: AI-Driven Forecasting and Intervention for OSS Project SustainabilityabstractOpen source software (OSS) underpins modern software infrastructure, yet many projects struggle with long-term sustainability. We introduce OSSPREY, an AI-powered platform that can predict the sustainability of any GitHub-hosted project. OSSPREY collects longitudinal socio-technical data, such as: commits, issues, and contributor interactions, and uses a transformer-based model to generate month-by-month sustainability forecasts. When project downturns are detected, it recommends evidence-based interventions drawn from published software engineering studies. OSSPREY integrates scraping, forecasting, and actionable guidance into an interactive dashboard, enabling maintainers to monitor project health, anticipate decline, and respond with targeted strategies. By connecting real-time project data with research-backed insights, OSSPREY offers a practical tool for sustaining OSS projects at scale.The codebase is linked to the project website at: https://oss-prey.github.io/OSSPREY-Website/The screencast is available at: https://www.youtube.com/watch?v=N7a0v4hPylU Nafiz Imtiaz Khan, Priyal Soni, Arjun Ashok, Vladimir Filkov |
ASE | 2 |