The DOI matches its Crossref record.
Making sense of revision-control systems
Open accessAbstract
All revision-control systems come with complicated sets of trade-offs. How do you find the best match between tool and team?
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
In the citing paper
“Although the underlying LLM, GPT-4, supports multiple languages [69], our study focused on English writing tasks.”
From ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models (2024) · cites this paper as [69]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Still being checked.
Cited by
Proactive detection of collaboration conflicts
Brun, Y., Holmes, R., Ernst, M. D., & Notkin, D. S. (2011) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2025113.2025139 · Cited by 204
Apel, S., Liebig, J., Brandl, B., Lengauer, C., & Kästner, C. (2011) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2025113.2025141 · Cited by 114
Software Heritage: Why and How to Preserve Software Source Code
Cosmo, R. D., & Zacchiroli, S. (2017) · Phaidra (Universität Wien) · Cited by 111
The Art and Science of Analyzing Software Data
(2015) · Elsevier eBooks · doi:10.1016/c2012-0-07289-4 · Cited by 103
Early Detection of Collaboration Conflicts and Risks
Brun, Y., Holmes, R., Ernst, M. D., & Notkin, D. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2013.28 · Cited by 82
Metadata
- Authors
- O'Sullivan, B.
- Affiliations
- San Francisco
- Venue
- Communications of the ACM
- Published
- 2009-09
- Volume
- 52
- Issue
- 9
- Pages
- 56-62
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2147397672
- Cited by
- 61
- References
- 0
- Citations by year
- 2024: 2 · 2023: 3 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 4 · 2016: 6 · 2015: 6 · 2014: 5 · 2013: 6 · 2012: 7
- FWCI
- 19.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Communications of the ACM (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
- Keywords
- version control, software development teams, tool selection, trade-offs
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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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
