Bayesian parameter estimation and prediction in NHPP software reliability growth model
نویسندگان
چکیده
منابع مشابه
Parameter Estimation in Software Reliability
All through the procedure of software engineering, software reliability investigation is expert at various stages as a try for the estimation of whether the software necessities have been experienced or not. Amid the underlying periods of software advancement, software reliability expectation methods were exceptionally testing. Various software reliability models have been advanced amid the ant...
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Nonhomogeneous poisson process based software reliability growth models are generally classified into two groups. The first group contains models, which use the machine execution time or calendar time as a unit of fault detection/removal period. Such models are called continuous time models. The second group contains models, which use the number of test occasions/cases as a unit of fault detect...
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The software reliability growth models (such as NHPP models) are frequently used in software reliability prediction. Estimation of parameters in these models is often done by point estimation. However, some numerical problems arise and make the actual computation hard, especially for automated reliability prediction tools. Here confidence interval computation in Goel-Okumoto model and S-shaped ...
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Software reliability growth models only become useful if it is possible to estimate their parameters. However, the parameter estimation is normally done numerically, and hence a substantial amount of data is all too often needed. This need is often not fulfilled by modern development processes, for example incremental development and agile methods. This position paper identifies three alternati...
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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...
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ژورنال
عنوان ژورنال: Journal of the Korean Data and Information Science Society
سال: 2013
ISSN: 1598-9402
DOI: 10.7465/jkdi.2013.24.4.755