Skip to content

SRC001 — https://mir.cs.illinois.edu/marinov/publications/HiltonETAL16ContinuousIntegration.pdf

Contents

Metadata

Field Value
URL https://mir.cs.illinois.edu/marinov/publications/HiltonETAL16ContinuousIntegration.pdf
Authors Michael Hilton, Timothy Tunnell, Kai Huang, Darko Marinov, Danny Dig (Oregon State University / University of Illinois)
Date 2016

Content Summary

Hilton et al. analyzed 34,544 GitHub projects and found 40% use CI, surveyed 442 developers on CI usage motivations, and analyzed 1.5M Travis CI builds. The study found CI adoption grows with project popularity and that popular projects show much higher CI adoption rates.

Reliability: High

Peer-reviewed paper published at ACM SIGSOFT FSE 2016 with large-scale empirical methodology.

Relevance: High

Primary source of the 40% CI adoption claim with detailed methodology and breakdown.

Bias Assessment

Domain Rating Rationale
Missing Data Some concerns Study is from 2016 — CI landscape has changed substantially since then.
Measurement Low risk Uses CI configuration file detection across multiple CI systems with transparent methodology.
Selective Reporting Low risk Reports both overall rates and stratified results including unfavorable findings.
Randomization N/A Observational study of existing repositories, not an RCT.
Protocol Deviation N/A Not an RCT.
Conflict Of Interest Low risk Academic researchers with no disclosed commercial interest in CI tools.

← Back to item overview