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1 Ergebnisse
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API code recommendation using statistical learning from fin..:
, In:
Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering
,
Nguyen, Anh Tuan
;
Hilton, Michael
;
Codoban, Mihai
... - p. 511-522 , 2016
Link:
https://dl.acm.org/doi/10.1145/2950290.2950333
RT T1 <cTitle>Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering</cTitle>: T1 <Title>API code recommendation using statistical learning from fine-grained changes</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2950333&Exemplar=1&LAN=DE A1 Nguyen, Anh Tuan A1 Hilton, Michael A1 Codoban, Mihai A1 Nguyen, Hoan Anh A1 Mast, Lily A1 Rademacher, Eli A1 Nguyen, Tien N. A1 Dig, Danny PB ACM YR 2016 K1 API Recommendation K1 Fine-grained Code Changes K1 Statistical Learning K1 Software and its engineering K1 Software creation and management K1 Software post-development issues K1 Software evolution K1 Software notations and tools K1 Development frameworks and environments K1 Integrated and visual development environments SP 511 OP 522 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2950290.2950333 DO https://dl.acm.org/doi/10.1145/2950290.2950333 SF ELIB - SuUB Bremen
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