This paper proposes a SSADT data analysis method to estimate product reliability based on time series analysis and grey theory. A RTVAR degradation time series model is proposed based on SSADT data. A grey prediction method of RTVAR model is put forward to predict product lifetime. By using the suggested method, product reliability is obtained. An example is presented as a verification of the m...

In common parlance, the traditional software reliability estimation methods often rely on assumptions like statistical distributions that are often dubious and unrealistic. This paper analyzes the assumptions of traditional reliability estimation methods and further evaluates the practical viability of the predictions offered by these models in the current scenario. We further propose a novel F...

Architecture-based reliability estimation is challenging: modern software is complex with numerous factors affecting a system’s reliability. In this article, we address three core challenges for architecture-based estimation of a system’s reliability: (1) defining an appropriate failure model based on characteristics of the system being analyzed, (2) dealing with uncertainties of the reliabilit...

Estimating the reliability of individual classifications is very important in several applications such as medical diagnosis. Recently, the transductive approach to reliability estimation has been proved to be very efficient when used with several machine learning classifiers, such as Naive Bayes and decision trees. However, the efficiency of the transductive approach for state-of-the art kerne...

This paper presents a novel approach to the reliability modeling and analysis of a component-based system that allows dealing with multiple failure modes and studying the error propagation among components. The proposed model permits to specify the components attitude to produce, propagate, transform or mask different failure modes. These component-level reliability specifications together with...