Software Reliability: Measurement, Prediction, Application (McGraw-Hill Series in Software Engineering and Technology): Musa, John D., Iannino, Anthony, Okumoto, Kazuhira: 9780070440937: Amazon.com: Books
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![Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-739/1/fig-2-full.png "Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) [PeerJ]")
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) [PeerJ]
The 16 Best Predictive Analytics Software and Tools for 2023
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Online quality prediction system ComoNeoPREDICT, software extension for ComoNeo | Kistler
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Relyence Reliability Prediction – Best-in-Class MTBF Calculation Software
