Unmasking Data Secrets: An Empirical Investigation into Data Smells and Their Impact on Data Quality von Recupito, Gilberto

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Technical debt in AI-enabled systems: On the prevalence, severity, impact, and management strategies for code and architecture von Recupito, Gilberto, Pecorelli, Fabiano, Catolino, Gemma, Lenarduzzi, Valentina, Taibi, Davide, Di Nucci, Dario, Palomba, Fabio

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When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems von Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Di Nucci, Dario, Palomba, Fabio

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Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review von Moreschi, Sergio, Recupito, Gilberto, Lenarduzzi, Valentina, Palomba, Fabio, Hastbacka, David, Taibi, Davide

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Into the ML-universe: An Improved Classification and Characterization of Machine-Learning Projects von De Martino, Vincenzo, Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Di Nucci, Dario, Palomba, Fabio

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Replication Package of "Code and Architectural Debt in Artificial Intelligence-Enabled Systems: On theRelevance, Severity, Impact, and Mitigation Strategies" von Recupito, Gilberto, pecorelli, Fabiano, Catolino, Gemma, Lenarduzzi, Valentina, Taibi, Davide, Di Nucci, Dario, Palomba, Fabio

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When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems von Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Dario Di Nucci, Palomba, Fabio

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When Code Smells Meet ML: On the Lifecycle of ML-specific Code Smells in ML-enabled Systems - Appendix von Recupito, Gilberto, Giordano, Giammaria, Ferrucci, Filomena, Di Nucci, Dario, Palomba, Fabio

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Toward End-to-End MLOps Tools Map: A Preliminary Study based on a Multivocal Literature Review von Moreschi, Sergio, Recupito, Gilberto, Lenarduzzi, Valentina, Palomba, Fabio, Hastbacka, David, Taibi, Davide

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