Software reliability prediction: A machine learning and approximation Bayesian inference approach
Shahrzad Oveisi,
Ali Moeini,
Sayeh Mirzaei
et al.
Abstract:Reliability growth models are commonly categorized into two primary groups: parametric and non‐parametric models. Parametric models, known as Software Reliability Growth Models (SRGM) rely on a set of hypotheses that can potentially affect the accuracy of model predictions, while non‐parametric models (such as neural networks) can predict the model solely based on training data without any assumptions regarding the model itself. In this paper, we propose several methods to enhance prediction accuracy in softwa… Show more
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