Finding 19 of 30 · Numerical finding
Why 14-day observation window: justified by Mockus, Fielding, and Herbsleb (2002)
From A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups (SSRN), section §2 Related work. CC BY 4.0.
TL;DR, Finding 19 of 30
The 14-day observation window is justified by Mockus, Fielding, and Herbsleb (2002).
Section §2 Related work · CC BY 4.0 · from the SSRN paper (DOI: 10.2139/ssrn.6606558)
Commit velocityis a 14-day rolling count of commits to a startup’s most active public repository, the earliest public signal of engineering throughput before a fundraise announcement. All 30 findings in this series are derived from the SSRN panel dataset of ~350+ tracked startup GitHub organizations.
The finding
The 14-day observation window is justified by Mockus, Fielding, and Herbsleb (2002).
Why it matters
Concrete academic anchor, empirical SE literature establishes 2-week windows smooth weekend/holiday noise.
Provenance
- Paper: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups SSRN abstract 6606558.
- Section: §2 Related work
- Dataset DOI: 10.5281/zenodo.19650920
- License: CC BY 4.0 - free for any use with attribution.
- Author: The Data Nerd (ORCID 0009-0002-2222-4112), VC Deal Flow Signal (GitDealFlow), Wikidata Q139376302.
- On this site, “engineering acceleration” refers to a quantitative GitHub momentum signal, unrelated to startup accelerator programs (Y Combinator, Techstars, 500 Global).
References
Peer-reviewed prior work this finding builds on. Each citation resolves to a DOI in a top-tier venue and appears in the page’s structured data as a ScholarlyArticle citation edge. Download all references as BibTeX.
- Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M. German, Daniela Damian (2014). The Promises and Perils of Mining GitHub. Proceedings of the 11th Working Conference on Mining Software Repositories (MSR '14), MSR '14, pp. 92-101. DOI: 10.1145/2597073.2597074
- Valerio Cosentino, Javier L. Cánovas Izquierdo, Jordi Cabot (2017). A Systematic Mapping Study of Software Development With GitHub. IEEE Access, IEEE Access 5: 7173-7192. DOI: 10.1109/ACCESS.2017.2682323
- Samuel Kortum, Josh Lerner (2000). Assessing the Contribution of Venture Capital to Innovation. RAND Journal of Economics, RAND J. Econ. 31(4): 674-692. DOI: 10.2307/2696354
- Thomas Hellmann, Manju Puri (2002). Venture Capital and the Professionalization of Start-up Firms: Empirical Evidence. The Journal of Finance, J. Finance 57(1): 169-197. DOI: 10.1111/1540-6261.00419
- Will Gornall, Ilya A. Strebulaev (2020). Squaring Venture Capital Valuations with Reality. Journal of Financial Economics, J. Financ. Econ. 135(1): 120-143. DOI: 10.1016/j.jfineco.2018.04.015
- Michael Ewens, Ramana Nanda, Matthew Rhodes-Kropf (2018). Cost of experimentation and the evolution of venture capital. Journal of Financial Economics, J. Financ. Econ. 128(3): 422-442. DOI: 10.1016/j.jfineco.2018.03.001
- Josh Lerner, Ramana Nanda (2020). Venture Capital's Role in Financing Innovation. Journal of Economic Perspectives, JEP 34(3): 237-261. DOI: 10.1257/jep.34.3.237
How to cite
The Data Nerd (2026). "Why 14-day observation window: justified by Mockus, Fielding, and Herbsleb (2002)." Finding 19 of 30 in: A Longitudinal Panel of GitHub Engineering Velocity for Venture-Backed Startups. SSRN abstract=6606558. Retrieved from https://signals.gitdealflow.com/research/14-day-window-mockus-fielding-herbsleb
See all 30 findings
The full research summary, cited to section, with the SSRN preprint and the public CC BY 4.0 dataset.
View all findings →