Software reliability models are one of the most generally used mathematical tool for estimation reliability, failure rate and number remaining faults in software. Existing software designed to follow waterfall development life cycle process. These existing do not take advantage iterative In this paper, a new model centered on process has been developed. It aims integrate modulation factor incor...

In Classical Hypothesis testing volumes of data is to be collected and then the conclusions are drawn which may take more time. But, Sequential Analysis of statistical science could be adopted in order to decide upon the reliable / unreliable of the developed software very quickly. The procedure adopted for this is, Sequential Probability Ratio Test (SPRT). In the present paper, we have propose...

Keywords: Software testing Software reliability Imperfect debugging The principle of uncertainty Markovian property a b s t r a c t Software reliability testing is concerned with the quantitative relationship between software testing and software reliability. Our previous work develops a mathematically rigorous modeling framework for software reliability testing. However the modeling framework ...

In this paper, we have modified the Jelinski-Moranda (J-M) model of software reliability using imperfect debugging process in fault removal activity. The J-M model was developed assuming the debugging process to be perfect which implies that there is one-to-one correspondence between the number of failures observed and faults removed. But in reality, it is possible that the fault which is suppo...

Software reliability model is the tool to measure software quantitatively. Hazard-Rate one of most popular ones. The purpose our research propose hazard-rate considering fault level for Open Source (OSS). Moreover, we aim adapt proposed imperfect debugging environment. We have analyzed trend severity by using data in Bug Tracking System (BTS) and based on result analysis. Also, shown numerical ...

Abstract: This paper presents a discrete software reliability growth model (SRGM) and introduces the concept of two types of imperfect debugging during software fault removal phenomenon with Logistic Fault removal rate. Most of the discrete SRGMs discussed in the literature seldom differentiate between the failure observation and fault removal processes. In real software development environment...

In this paper we consider a latent Markov process governing the intensity rate of software failures. The latent process represents the behavior of the debugging operations over time and enables us to deal with the imperfect debugging scenario. We develop the Bayesian inference for the model and also introduce a method to infer the unknown dimension of the Markov process. We illustrate the imple...