How do Developers Promote Open Source Projects?
August 12, 2019 Β· Declared Dead Β· π Computer
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Hudson Borges, Marco Tulio Valente
arXiv ID
1908.04219
Category
cs.SE: Software Engineering
Citations
12
Venue
Computer
Last Checked
4 months ago
Abstract
Open source projects have an increasing importance on modern software development. For this reason, these projects, as usual with commercial software projects, should make use of promotion channels to communicate and establish contact with users and contributors. In this article, we study the channels used to promote a set of 100 popular GitHub projects. First, we reveal that Twitter, user meetings, and blogs are the most common promotion channels used by the studied projects. Second, we report a major difference between the studied projects and a random sample of projects, regarding the use of the investigated promotion channels. Third, we show the importance of a popular news aggregation site (Hacker News) on the promotion of open source. We conclude by presenting a set of practical recommendation to open source project managers and leaders, regarding the promotion of their projects.
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