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1 Ergebnisse
1
Characterizing the Complexity and Its Impact on Testing in ..:
, In:
2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)
,
Cao, Junming
;
Chen, Bihuan
;
Hu, Longjie
... - p. 258-270 , 2023
Link:
https://doi.org/10.1109/ICSME58846.2023.00034
RT T1
2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)
: T1
Characterizing the Complexity and Its Impact on Testing in ML-Enabled Systems : A Case Sutdy on Rasa
UL https://suche.suub.uni-bremen.de/peid=ieee-10336332&Exemplar=1&LAN=DE A1 Cao, Junming A1 Chen, Bihuan A1 Hu, Longjie A1 Gao, Jie A1 Huang, Kaifeng A1 Song, Xuezhi A1 Peng, Xin YR 2023 SN 2576-3148 K1 Analytical models K1 Software maintenance K1 Source coding K1 Machine learning K1 Companies K1 Complexity theory K1 Testing K1 machine learning system K1 empirical study K1 machine learning testing SP 258 OP 270 LK http://dx.doi.org/https://doi.org/10.1109/ICSME58846.2023.00034 DO https://doi.org/10.1109/ICSME58846.2023.00034 SF ELIB - SuUB Bremen
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