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The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on polynomial hazard function
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 Title & Authors
The Assessing Comparative Study for Statistical Process Control of Software Reliability Model Based on polynomial hazard function
Kim, Hee-Cheul; Shin, Hyun-Cheul;
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 Abstract
There are many software reliability models that are based on the times of occurrences of errors in the debugging of software. It is shown that it is possible to do parameter inference for software reliability models based on finite failure model and non-homogeneous Poisson Processes (NHPP). For someone making a decision to market software, the conditional failure rate is an important variables. In this case, finite failure model are used in a wide variety of practical situations. Their use in characterization problems, detection of outlier, linear estimation, study of system reliability, life-testing, survival analysis, data compression and many other fields can be seen from the many study. Statistical process control (SPC) can monitor the forecasting of software failure and thereby contribute significantly to the improvement of software reliability. Control charts are widely used for software process control in the software industry. In this paper, proposed a control mechanism based on NHPP using mean value function of polynomial hazard function.
 Keywords
Polynomial Hazard Functione;Non-Homogeneous Poisson Process;Statistical Process Control;
 Language
Korean
 Cited by
 References
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