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1
MLSmellHound : a context-aware code analysis tool:
, In:
Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results
,
Kannan, Jai
;
Barnett, Scott
;
Cruz, Luís
.. - p. 66-70 , 2022
Link:
https://dl.acm.org/doi/10.1145/3510455.3512773
RT T1 <cTitle>Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results</cTitle>: T1 <Title>MLSmellHound : a context-aware code analysis tool</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3512773&Exemplar=1&LAN=DE A1 Kannan, Jai A1 Barnett, Scott A1 Cruz, Luís A1 Simmons, Anj A1 Agarwal, Akash PB ACM YR 2022 K1 code smells K1 context-aware K1 machine learning K1 Software and its engineering K1 Software notations and tools K1 Software maintenance tools SP 66 OP 70 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3510455.3512773 DO https://dl.acm.org/doi/10.1145/3510455.3512773 SF ELIB - SuUB Bremen
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