Software reliability growth models (SRGM) are used to assess modular software quantitatively and predict the reliability of each of the modules during module testing phase. In the last few decades various SRGM’s have been proposed in literature. However, it is difficult to select the best model from a plethora of models available. To reduce this difficulty, unified modeling approaches have been...

We propose a software reliability growth model with testing-effort based on a continuous-state space stochastic process, such as a lognormal process, and conduct its goodness-of-fit evaluation. We also discuss a parameter estimation method of our model. Then, we derive several software reliability assessment measures by the probability distribution of its solution process, and compare our model...

The current software development environment has been changing into new development paradigms such as concurrent distributed development environment and the so-called open source project by using network computing technologies. Especially, OSS (Open Source Software) systems which serve as key components of critical infrastructures in our society are still ever-expanding now. However, poor handl...

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Many software tools have been proposed for the purpose of performance analysis and measurement on software executables. The results produced by such tools are visually displayed based on run-time characteristics of software executables without suggesting the fitness of executables at the operational environment. This is because run-time characteristics of an executable are not static for every ...

This paper describes how MEADEP [SoHaR00], a system level dependability prediction tool, and SMERFS [Farr93], a software reliability growth prediction tool can be used together to predict system reliability, and availability growth) for complex systems. The Littlewood/Verrall model is used to predict reliability growth from software test data. This prediction is integrated into a system level M...

In this paper we propose a discrete program-size dependent software reliability growth model flexibly describing the software failure-occurrence phenomenon based on a discrete Weibull distribution. We also conduct model comparisons of our discrete SRGM with existing discrete SRGMs by using actual data sets. The program size is one of the important metrics of software complexity. It is known tha...

The purpose of this report is to implement the idea of using testability to estimate software reliability. The basic steps involve estimating testability, evaluating how well software was written, and assessing the relationship between testing and usage. Results from these steps along with operational profiles are used to estimate software reliability. This paper describes an application of thi...