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Machine Learning in the Wild: Early Evidence of Non-Compliant ML-Automation in Open-Source Software

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Arshid, Zohaib, Bifolco, Daniele, Zampetti, Fiorella, Di Penta, Massimiliano
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
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