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The Comparative Study of NHPP Software Reliability Model Exponential and Log Shaped Type Hazard Function from the Perspective of Learning Effects  

Kim, Hee Cheul (남서울대학교 산업경영공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.8, no.2, 2012 , pp. 1-10 More about this Journal
Abstract
In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.
Keywords
Learning Effects; Non-Homogeneous Poisson Process; Exponential and Log Shaped Type Hazard Function;
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