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SemCluster: a semi-supervised clustering tool for crowdsour..:
, In:
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
,
Du, Mingzhe
;
Yu, Shengcheng
;
Fang, Chunrong
... - p. 1756-1759 , 2022
Link:
https://dl.acm.org/doi/10.1145/3540250.3558933
RT T1
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
: T1
SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding
UL https://suche.suub.uni-bremen.de/peid=acm-3558933&Exemplar=1&LAN=DE A1 Du, Mingzhe A1 Yu, Shengcheng A1 Fang, Chunrong A1 Li, Tongyu A1 Zhang, Heyuan A1 Chen, Zhenyu PB ACM YR 2022 K1 Image Understanding K1 Semantic Binding Rules K1 Semi-Supervised Clustering K1 Textual Analysis K1 Software and its engineering K1 Software testing and debugging SP 1756 OP 1759 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3540250.3558933 DO https://dl.acm.org/doi/10.1145/3540250.3558933 SF ELIB - SuUB Bremen
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