Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations

This experience paper describes thirteen considerations for implementing machine learning software defect prediction (ML SDP) in vivo. Specifically, we provide the following report on the ground of the most important observations and lessons learned gathered during a large-scale research effort and...

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Veröffentlicht in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] S. 1098 - 1110
Hauptverfasser:	Stradowski, Szymon, Madeyski, Lech
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 11.09.2023
Schlagworte:	Buildings Companies Costs experience paper Industries industry introduction Machine learning Nokia 5G Profitability software defect prediction
ISSN:	2643-1572
Online-Zugang:	Volltext
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