A large scale study of long-time contributor prediction for GitHub projects

A large scale study of long-time contributor prediction for GitHub projects

The continuous contributions made by long time contributors (LTCs) are a key factor enabling open source software (OSS) projects to be successful and survival. We study Github as it has a large number of OSS projects and millions of contributors, which enables the study of the transition from newcom...

Full description

Saved in:
Bibliographic Details
Main Authors: BAO, Lingfeng, XIA, Xin, LO, David, MURPHY, Gail C.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2021
Subjects:
Long Time Contributor
GitHub
Prediction Model
Feature extraction
Task analysis
Numerical Analysis and Scientific Computing
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4359
https://ink.library.smu.edu.sg/context/sis_research/article/5362/viewcontent/Long_time_contributor_Github_tse191.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4359
https://ink.library.smu.edu.sg/context/sis_research/article/5362/viewcontent/Long_time_contributor_Github_tse191.pdf

Similar Items