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A Study on Software Reliability Assessment Model of Superposition NHPP  

Kim, Do-Hoon (Department of Applied Information Statistics, Kyonggi University)
Nam, Kyung-H. (Department of Applied Information Statistics, Kyonggi University)
Publication Information
Journal of Korean Society for Quality Management / v.36, no.1, 2008 , pp. 89-95 More about this Journal
Abstract
In this paper, we propose a software reliability growth model based on the superposition cause in the software system, which is isolated by the executed test cases in software testing. In particular, our model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process, and is formulated as a nonhomogeneous Poisson process(NHPP). Further, it is applied to fault-detection data, the results of software reliability assessment are shown, and comparison of goodness-of-fit with the existing software reliability growth model is performed.
Keywords
Software Reliability Growth Model; Superposition NHPP; Mean Value Function; Intensity Function;
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