Continuous Software Reliability Models - How Good Are They? -
For large scale software systems with a huge number of codes, it may be often useful to regard the fault-counting processes observed in testing phase as continuous-state stochastic processes. In this paper we introduce two types of continuousstate software reliability models; diffusion processes with timedependent drift and non-stationary gamma wear processes, and compare them with the usual non-homogeneous Poisson processes. We expect that our models can provide the better goodness-of-fit performance than the existing software reliability models in many cases and provide convenient assessment tools to estimate the software reliability.
reliability growth modeling continuous-state models diffusion processes gamma wear processes software-fault data analysis
Lin-Zhu JIN Tadashi DOHI Shunji OSAKI
Department of Information Engineering Graduate School of Engineering Hiroshima University 1-4-1 Kaga Faculty of Information Sciences and Engineering Nanzan University Seto, Japan
国际会议
西安
英文
418-423
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）