An empirical dataset combining repository metrics and pipeline workflows for predictive software analytics.

Sanusi FA, Faruna JO

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DOI: 10.1016/j.dib.2026.113128
Published: 2026 Aug
Container: Data in brief
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.dib.2026.113128,
  title = {An empirical dataset combining repository metrics and pipeline workflows for predictive software analytics.},
  author = {Sanusi FA and Faruna JO},
  year = {2026},
  journal = {Data in brief},
  doi = {10.1016/j.dib.2026.113128},
  url = {https://doi.org/10.1016/j.dib.2026.113128}
}

RIS

TY  - JOUR
TI  - An empirical dataset combining repository metrics and pipeline workflows for predictive software analytics.
AU  - Sanusi FA
AU  - Faruna JO
PY  - 2026
JO  - Data in brief
DO  - 10.1016/j.dib.2026.113128
UR  - https://doi.org/10.1016/j.dib.2026.113128
ER  -

APA

FA, S., & JO, F. (2026). An empirical dataset combining repository metrics and pipeline workflows for predictive software analytics.. Data in brief. https://doi.org/10.1016/j.dib.2026.113128

Source records

pubmed · retrieved 2026-09-25T00:25:00.985Z
europe-pmc · retrieved 2026-09-25T00:25:00.996Z
doaj · retrieved 2026-09-25T00:25:01.000Z