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Practitioners' insights on machine-learning software engine..:
, In:
2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)
,
Washizaki, Hironori
;
Takeuchi, Hironori
;
Khomh, Foutse
... - p. 797-799 , 2020
Link:
https://doi.org/10.1109/ICSME46990.2020.00095
RT T1 <cTitle>2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)</cTitle>: T1 <Title>Practitioners' insights on machine-learning software engineering design patterns: a preliminary study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9240692&Exemplar=1&LAN=DE A1 Washizaki, Hironori A1 Takeuchi, Hironori A1 Khomh, Foutse A1 Natori, Naotake A1 Doi, Takuo A1 Okuda, Satoshi YR 2020 SN 2576-3148 K1 Software maintenance K1 Software design K1 Conferences K1 Bibliographies K1 Machine learning K1 Software engineering K1 Machine Learning K1 Design Patterns K1 Systematic Literature Review K1 Questionnaire Survey SP 797 OP 799 LK http://dx.doi.org/https://doi.org/10.1109/ICSME46990.2020.00095 DO https://doi.org/10.1109/ICSME46990.2020.00095 SF ELIB - SuUB Bremen
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