When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems

Context. The adoption of Machine Learning (ML)--enabled systems is steadily increasing. Nevertheless, there is a shortage of ML-specific quality assurance approaches, possibly because of the limited knowledge of how quality-related concerns emerge and evolve in ML-enabled systems. Objective. We aim...

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Hauptverfasser:	Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Di Nucci, Dario, Palomba, Fabio
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Software Engineering
Online-Zugang:	Volltext bestellen
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