Evolutionary neural network prediction for software reliability modeling
نویسندگان
چکیده
Software Reliability is a key concern of many users and developers of softwares. Demand for high software reliability requires robust modeling techniques for software quality prediction. This paper presents a new approach to software reliability assessment by using neural network. The neural network model has been applied to three different applications and normalized root mean of the square of error as an evaluation criterion. Results show that the neural network model adopted has good predictive capability.
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