Research on Embedded Software Reliability Prediction Model Based on Continuous Collaborative Machine Learning Algorithm

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Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (1) : 39-42.

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Research on Embedded Software Reliability Prediction Model Based on Continuous Collaborative Machine Learning Algorithm

Zhang Boyun¹, Hai Shijing², Wei Jiaqing²

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Abstract

In order to optimize the intelligent controllable perception mechanism of embedded software reliability prediction, an embedded software reliability prediction model based on continuous cooperative machine learning algorithm is constructed.The continuous collaborative machine learning algorithm mechanism is constructed to realize the accurate prediction of embedded software reliability.The deep LSTM is used to construct the accurate prediction mechanism of embedded software core element samples in positive time order, DCNN is used to perceive the tacit knowledge of the post test set of the data pool and output the best prediction results.The results show that the model meets the needs of intelligent transformation of embedded software reliability prediction, and greatly optimizes the intelligent controllable perception mechanism of embedded software reliability prediction.

Key words

embedded software / reliability prediction / continuous collaborative machine learning algorithm / deep LSTM / DCNN algorithm

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Zhang Boyun¹, Hai Shijing², Wei Jiaqing². Research on Embedded Software Reliability Prediction Model Based on Continuous Collaborative Machine Learning Algorithm[J]. Integrated Circuits and Embedded Systems. 2022, 22(1): 39-42

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