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1 Ergebnisse
1
Advanced EdTech Strategies for Predicting Software Reliabil..:
, In:
2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
,
Ritu
;
Anchal
;
Pandey, Shivam
... - p. 1395-1399 , 2023
Link:
https://doi.org/10.1109/ICSCNA58489.2023.10370187
RT T1 <cTitle>2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)</cTitle>: T1 <Title>Advanced EdTech Strategies for Predicting Software Reliability: Harnessing ALM and SVM</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10370187&Exemplar=1&LAN=DE A1 Ritu A1 Anchal A1 Pandey, Shivam A1 Chauhan, Aditya A1 Mridul A1 Sharma, Shreya YR 2023 K1 Support vector machines K1 Measurement K1 Machine learning algorithms K1 NASA K1 Training data K1 Predictive models K1 Feature extraction K1 Key phrases K1 Extreme learning machine K1 model for defect prediction K1 Software fault prognosis K1 Top-notch software K1 Support vector machine SP 1395 OP 1399 LK http://dx.doi.org/https://doi.org/10.1109/ICSCNA58489.2023.10370187 DO https://doi.org/10.1109/ICSCNA58489.2023.10370187 SF ELIB - SuUB Bremen
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