Exploring Apache Incubator Project Trajectories with APEX
May 23, 2022 Β· Declared Dead Β· π IEEE Working Conference on Mining Software Repositories
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Anirudh Ramchandran, Likang Yin, Vladimir Filkov
arXiv ID
2205.10992
Category
cs.SE: Software Engineering
Citations
9
Venue
IEEE Working Conference on Mining Software Repositories
Last Checked
4 months ago
Abstract
Open Source Software (OSS) is a major component of our digital infrastructure, yet more than 80% of such projects fail. Seeking less uncertainty, many OSS projects join established software communities, e.g., the Apache Software Foundation (ASF), with established rules and community support to guide projects toward sustainability. In their nascent stage, ASF projects are incubated in the ASF incubator (ASFI), which provides systematic mentorship toward long-term sustainability. Projects in ASFI eventually conclude their incubation by either graduating, if successful, or retiring, if not. Time-stamped traces of developer activities are publicly available from ASF, and can be used for monitoring project trajectories toward sustainability. Here we present a web app dashboard tool, APEX, that allows internal and external stakeholders to monitor and explore ASFI project sustainability trajectories, including social and technical networks.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted