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 …

Background: Software Reliability Growth Models (SRGMs) are the most widely used
mathematical models to monitor, predict and assess the software reliability. They play an …

In this paper, we propose two general frameworks for deriving several software reliability
growth models based on a non-homogeneous Poisson process (NHPP) in the presence of …

Prevalent approaches to software reliability modeling are black-box based, ie, the the
software system is treated as a monolithic entity and only its interactions with the outside …

Software is widely used in many application domains. The most popular software are used
by millions every day. How to accurately predict and assess the reliability of developed …

With software systems increasingly being employed in critical contexts, assuring high
reliability levels for large, complex systems can incur huge verification costs. Existing …

Conventional approaches to analyze the behavior of software applications are black box
based, that is, the software application is treated as a whole and only its interactions with the …

Software reliability is one of the standard critical inherent characteristics of software systems.
The testing coverage function (TCF) is a significant parameter for identifying the …

This paper presents a unified approach to model the reliability growth of software with
imperfect debugging and coverage factor. Existing testing coverage‐based software …

Software reliability models are used to estimate and predict the reliability, number of
remaining faults, failure intensity, total software development cost, etc., of a software. Testing …