Prediction of Software Reliability: A Comparison between Regression and Neural Network Non-Parametric Models
نویسندگان
چکیده
In this paper neural networks have been proposed as an alternative technique to build software reliability growth models. A feedforward neural network was used to predict the number of faults initially resident in a program at the beginning of a test/debug process. To evaluate the predictive capability of the developed model data sets from various projects were used [l]. A comparison between regression parametric models and neural network models is provided.
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