A Comparative Overview of Software Reliability Growth Models

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Razeef Mohd
S. M. K Quadri, Nesar Ahmad


A software reliability growth model is one of the fundamental techniques used to assess software reliability quantitatively. The
software reliability growth model is required to have a good performance in terms of goodness-of-fit, predictability, and so forth. In this paper,
we will summarize some existing Software Reliability Growth Models (SRGM’s). Our main focus in this paper will be to provide a comparative
overview of the various SRGM’s in general. The comparison will mainly be on the basis of what type of Testing-Effort Function (TEF) is used
by which type of probability distribution function, to describe Testing-Effort curve. First, we provide overview of Software Reliability and
Software Reliability Growth Model. Next, with the intention of comparing various SRGMs we provide the Testing Effort Functions (TEFs)
given by various researchers. Then actual software data from the software projects have been used to demonstrate the comparison of SRGMs.
The evaluation results from the various SRGMs are analyzed and compared to show which SRGM has fairly better prediction in estimating
number of remaining faults, expected number of errors, future failure behavior from present and past failures, optimal release time and which
SRGM comparatively describes the actual expenditure pattern more faithfully during software development process.



Keywords: Software Reliability, Testing-Effort Function (TEF), Non-Homogenous Process(NHPP), Probability Distribution Function (PDF),
Fault, Failure, Software Reliability Growth Model (SRGM), Testing-Effort curve, Optimal Release Time, Failure-Intensity.


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