摘要
软件可靠性增长模型SRGM可对测试与运行阶段的可靠性进行度量、预测与保证。不完美排错SRGM能够更加准确地建模实际测试过程,获得了广泛研究。首先介绍了随机过程类模型中的NHPP基本概念与假设。接着,从三个阶段全面回顾了不完美排错研究历程。进一步,给出了若干典型的不完美排错SRGM的建模与累计故障检测函数的求解形式。最后将从排错的不完全性,引入新故障的角度建立的不完美排错模型:IID-SRGM与现有的模型进行比较,优于其它模型。
Software reliability growth model can be used to measure,predict and ensure reliability in testing and operation stage. Imperfect debugging（ ID） dependent SRGM can describe real testing process in detail and has obtained a wide range of research. First,the basic concepts and assumptions of Non- Homogeneous Poisson Process based on stochastic process are discussed. From three stages,ID research is overviewed completely. Furthermore,modelling process of ID dependent SRGM and the solution of cumulative fault detection function are presented. Finally,the special ID model： IID- SRGM considering incomplete debugging and introduction of new faults is compared with the others and performs better.
出处
《智能计算机与应用》
2014年第2期16-20,共5页
Intelligent Computer and Applications
基金
国家科技支撑计划项目(2013BA17F02)
山东省科技攻关项目(2011GGX10108
2010GGX10104)
