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Software Testing Model by Measuring the Level of Accuracy F..:
, In:
2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA)
,
Zulkifli
;
Gaol, Ford Lumban
;
Trisetyarso, Agung
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICITDA55840.2022.9971274
RT T1 <cTitle>2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA)</cTitle>: T1 <Title>Software Testing Model by Measuring the Level of Accuracy Fault Output Using Neural Network Algorithm</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9971274&Exemplar=1&LAN=DE A1 Zulkifli A1 Gaol, Ford Lumban A1 Trisetyarso, Agung A1 Budiharto, Widodo YR 2022 K1 Software testing K1 Training K1 Neural networks K1 Software algorithms K1 Measurement uncertainty K1 Closed box K1 Prediction algorithms K1 Model-Based Testing K1 Neural Network K1 Black-Box K1 Equivalence Partitions SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICITDA55840.2022.9971274 DO https://doi.org/10.1109/ICITDA55840.2022.9971274 SF ELIB - SuUB Bremen
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