Stochastic differential equation software reliability growth model with change-point  

作　　者：张楠 Cui Gang Shu Yanjun Liu Hongwei 

机构地区：[1]Deptartment of Computer Science and Technology University of Harbin Institute of Technology [2]Harbin University of Commerce

出　　处：《High Technology Letters》2014年第4期383-389,共7页高技术通讯（英文版）

基　　金：Supported by the International Science&Technology Cooperation Program of China(No.2010DFA14400);the National Natural Science Foundation of China(No.60503015);the National High Technology Research and Development Programme of China(No.2008AA01A201)

摘　　要：This paper presents software reliability growth models(SRGMs) with change-point based on the stochastic differential equation(SDE).Although SRGMs based on SDE have been developed in a large scale software system,considering the variation of failure distribution in the existing models during testing time is limited.These SDE SRGMs assume that failures have the same distribution.However,in practice,the fault detection rate can be affected by some factors and may be changed at certain point as time proceeds.With respect to this issue,in this paper,SDE SRGMs with changepoint are proposed to precisely reflect the variations of the failure distribution.A real data set is used to evaluate the new models.The experimental results show that the proposed models have a fairly accurate prediction capability.This paper presents software reliability growth models （SRGMs） with change-point based on the stochastic differential equation （SDE）.Although SRGMs based on SDE have been developed in a large scale software system,considering the variation of failure distribution in the existing models during testing time is limited.These SDE SRGMs assume that failures have the same distribution.However,in practice,the fault detection rate can be affected by some factors and may be changed at certain point as time proceeds.With respect to this issue,in this paper,SDE SRGMs with changepoint are proposed to precisely reflect the variations of the failure distribution.A real data set is used to evaluate the new models.The experimental results show that the proposed models have a fairly accurate prediction capability.

关 键 词：software reliability continuous state space stochastic differential equation （SDE） CHANGE-POINT 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]