Cited by 365Software Engineering ResearchSoftware Engineering Techniques and PracticesOpen Source Software Innovations

Curating GitHub for engineered software projects

Munaiah, Nuthan, Kroh, Steven, Cabrey, Craig, Nagappan, Meiyappan·2017·Empirical Software Engineering

Integrity signals

Registry

Crossref · 10.1007/s10664-017-9512-6

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The number of GitHub stars is widely used when stakeholders evaluate, select, and adopt open-source projects into their software supply chain.

    “Many studies provided evidence that the number of GitHub stars is widely used when stakeholders evaluate, select, and adopt opensource projects into their software supply chain [33, 61, 71, 76, 89, 95].”

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Authors
Munaiah, N., Kroh, S., Cabrey, C., & Nagappan, M.
Affiliations
  • Rochester Institute of Technology (US)
  • University of Waterloo (CA)
Corresponding author
Munaiah, Nuthan
Venue
Empirical Software Engineering
Published
2017-04-18
Volume
22
Issue
6
Pages
3219-3253
ISSN
  • 1382-3256 (ISSN-L)
  • 1573-7616
OpenAlex
W2559885217
Cited by
365
References
0
Citations by year
2026: 39 · 2025: 27 · 2024: 37 · 2023: 34 · 2022: 44 · 2021: 56 · 2020: 51 · 2019: 45 · 2018: 28 · 2017: 4
FWCI
65.68
Type
journal article
Language
en
Open access
closed
Locations
Empirical Software Engineering (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
Keywords
GitHub repositories, software forges, noise reduction, software engineering practices, Boas, Stargazer, classifier evaluation

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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