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- W2899399039 abstract "This work models the reliability of software systems using recurrent neural networks with long short-term memory (LSTM) units and truncated backpropagation algorithm, and encoder-decoder LSTM architecture and proposes LSTM with software reliability functions as activation functions and LSTM with input features as the output of software reliability functions. An initial evaluation on data coming from 4 industrial projects is also provided." @default.
- W2899399039 created "2018-11-09" @default.
- W2899399039 creator A5019519610 @default.
- W2899399039 date "2018-10-26" @default.
- W2899399039 modified "2023-09-25" @default.
- W2899399039 title "On the adoption of neural networks in modeling software reliability" @default.
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- W2899399039 doi "https://doi.org/10.1145/3236024.3275433" @default.
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