software quality attribute and Software reliability estimation is a hard problem to solve accurately. However for management of software quality and standard practice of the organization, accurate reliability estimation is important. Non-homogeneous Poisson Process (NHPP) models and Artificial Neural Network (ANN) models are among the most important software reliability growth models. In this p...

This entry identifies the factors that control software reliability and the approaches that are needed to achieve desired reliability targets. Common reliability measures are defined. The factors that impact defect density and defect finding rates are discussed and software reliability growth modeling is introduced. Both test-timeand test-coverage-based models are introduced. Modeling for secur...

The software engineering tools historically used to examine faults can also be used to examine vulnerabilities and the rate at which they are discovered. I discuss the challenges of the collection process and compare two sets of vulnerability characterization criteria. I collected fifty-four months of vulnerability data for OpenBSD 2.2 and applied seven reliability growth models to the two data...

Many software reliability growth models (SRGMs) have been analyzed for measuring the growth of software reliability. Selection of optimal SRGMs for use in a particular case has been an area of interest for researchers in the field of software reliability. A ll existing methodologies use same weight for each comparison criterion. But in reality, it is the fact that all the parameters do not have...

Software reliability is the probability that the given software functions correctly under a given environment, during the specified period of time. During the software-testing phase, software reliability is highly related to the amount of development resources spent on detecting and correcting latent software errors, i.e. the amount of testing effort expenditures. This paper develops software r...