Softwares play an important role in controlling complex systems. Monitoring the proper
functioning of the components of such systems is the principal role of softwares. Often, a …

Forecasting the behavior of the financial market is a nontrivial task that relies on the
discovery of strong empirical regularities in observations of the system. These regularities …

Support Vector Machines (SVMs) are kernel-based learning methods, which have been
successfully adopted for regression problems. However, their use in reliability applications …

A large number of software reliability growth models (SRGMs) have been proposed during
the past 30 years to estimate software reliability measures such as the number of remaining …

Software reliability is an important part while evaluating software quality. Many challenges
are faced while developing highly reliable software such as its usability, performance …

Software reliability is the probability of failure-free software operation for a specified period
of time in a specified environment. During the last three decades, many software reliability …

In this paper, ensemble models are developed to accurately forecast software reliability.
Various statistical (multiple linear regression and multivariate adaptive regression splines) …

Software fault detection and correction processes are related although different, and they
should be studied together. A practical approach is to apply software reliability growth …

Software reliability is an important factor for quantitatively characterizing software quality and
estimating the duration of software testing period. Traditional parametric software reliability …

Software testing is necessary to accomplish highly reliable software systems. If the project
manager can conduct well-planned testing activities, the consumption of related testing …