International Journal of Reliability and Applications
- Volume 7 Issue 2
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- Pages.155-166
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- 2006
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- 1598-0073(pISSN)
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- 2283-8914(eISSN)
Frameworks for NHPP Software Reliability Growth Models
- Park, J.Y. (Department of Information Statistics, Gyeongsang National University) ;
- Park, J.H. (Department of Computer Science, Gyeongsang National University) ;
- Fujiwara, T. (Development Dept. 2, Development Division, Fujitsu Peripherals Limited)
- Published : 2006.06.30
Abstract
Many software reliability growth models (SRGMs) based on nonhomogeneous Poisson process (NHPP) have been developed and applied in practice. NHPP SRGMs are characterized by their mean value functions. Mean value functions are usually derived from differential equations representing the fault detection/removal process during testing. In this paper such differential equations are regarded as frameworks for generating mean value functions. Currently available frameworks are theoretically discussed with respect to capability of representing the fault detection/removal process. Then two general frameworks are proposed.
Keywords
- construct;
- coverage growth function;
- fault detection rate;
- fault introduction rate;
- fault removal rate;
- framework;
- mean value function;
- repeated construct execution;
- software reliability growth model