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1 Ergebnisse
1
Testing Machine Learning Systems in Industry: An Empirical ..:
, In:
2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
,
Li, Shuyue
;
Guo, Jiaqi
;
Lou, Jian-Guang
... - p. 263-272 , 2022
Link:
https://doi.org/10.1145/3510457.3513036
RT T1 <cTitle>2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)</cTitle>: T1 <Title>Testing Machine Learning Systems in Industry: An Empirical Study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9793981&Exemplar=1&LAN=DE A1 Li, Shuyue A1 Guo, Jiaqi A1 Lou, Jian-Guang A1 Fan, Ming A1 Liu, Ting A1 Zhang, Dongmei YR 2022 K1 Industries K1 Software testing K1 Analytical models K1 Technological innovation K1 Machine learning K1 Data collection K1 Software systems K1 machine learning K1 software testing K1 survey SP 263 OP 272 LK http://dx.doi.org/https://doi.org/10.1145/3510457.3513036 DO https://doi.org/10.1145/3510457.3513036 SF ELIB - SuUB Bremen
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