Software fault prediction aims to identify fault-prone software modules by using some
underlying properties of the software project before the actual testing process begins. It …

Software-defined networking (SDN) has emerged as a new network paradigm that promises
control/data plane separation and centralized network control. While these features simplify …

The purpose of evaluating public health surveillance systems is to ensure that problems of
public health importance are being monitored efficiently and effectively. CDC's Guidelines …

Software fault prediction (SFP) is a complex problem that meets developers in the software
development life cycle. Collecting data from real software projects, either while the …

Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …

Reliability theory is a major concern for engineers and managers engaged in making high
quality products and designing highly reliable systems.“Advanced Reliability Models and …

Reliability is one of the essential quality requirements of software systems, especially for life
critical ones. Software reliability modeling provides a means for estimating reliability of …

In this paper we present a unified framework for simulating Markovian models of highly
dependable systems. Since the failure event is a rare event, the estimation of system …

This paper formally establishes a hierarchy, among the most commonly used types of
dependability models, according to their modeling power. Among the combinatorial (non …

Recent advances in science and technology have made modern computing and
engineering systems more powerful and sophisticated than ever. The increasing complexity …