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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Vydané v:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] s. 1098 - 1110
Hlavní autori:	Stradowski, Szymon, Madeyski, Lech
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 11.09.2023
Predmet:	Buildings Companies Costs experience paper Industries industry introduction Machine learning Nokia 5G Profitability software defect prediction
ISSN:	2643-1572
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