DeepAI
Log In Sign Up

An Exploratory Study of Project Activity Changepoints in Open Source Software Evolution

03/19/2021
by   James Walden, et al.
0

To explore the prevalence of abrupt changes (changepoints) in open source project activity, we assembled a dataset of 8,919 projects from the World of Code. Projects were selected based on age, number of commits, and number of authors. Using the nonparametric PELT algorithm, we identified changepoints in project activity time series, finding that more than 90 between one and six changepoints. Increases and decreases in project activity occurred with roughly equal frequency. While most changes are relatively small, on the order of a few authors or few dozen commits per month, there were long tails of much larger project activity changes. In future work, we plan to focus on larger changes to search for common open source lifecycle patterns as well as common responses to external events.

READ FULL TEXT
05/28/2020

The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL

Context: The Heartbleed vulnerability brought OpenSSL to international a...
06/29/2020

New developer metrics: Are comments as crucial as code contributions?

Open-source code development has become widespread in recent years. As a...
03/09/2020

Is this GitHub Project Maintained? Measuring the Level of Maintenance Activity of Open-Source Projects

Context: GitHub hosts an impressive number of high-quality OSS projects....
03/15/2022

Two Approaches to Survival Analysis of Open Source Python Projects

A recent study applied frequentist survival analysis methods to a subset...
03/30/2019

A decentralized method for making sensor measurements tamper-proof to support open science applications

Open science has become a synonym for modern, digital and inclusive scie...
12/13/2019

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt

Activity classification has observed great success recently. The perform...