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1 Ergebnisse
1
MLSmellHound: A Context-Aware Code Analysis Tool:
, In:
2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)
,
Kannan, Jai
;
Barnett, Scott
;
Cruz, Luis
.. - p. 66-70 , 2022
Link:
https://doi.org/10.1145/3510455.3512773
RT T1 <cTitle>2022 IEEE/ACM 44th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)</cTitle>: T1 <Title>MLSmellHound: A Context-Aware Code Analysis Tool</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9793510&Exemplar=1&LAN=DE A1 Kannan, Jai A1 Barnett, Scott A1 Cruz, Luis A1 Simmons, Anj A1 Agarwal, Akash YR 2022 K1 Industries K1 Computer languages K1 Codes K1 Source coding K1 Machine learning K1 Software systems K1 Cultural differences K1 Standards K1 Software engineering K1 code smells K1 context-aware SP 66 OP 70 LK http://dx.doi.org/https://doi.org/10.1145/3510455.3512773 DO https://doi.org/10.1145/3510455.3512773 SF ELIB - SuUB Bremen
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