NHPP-based software reliability model considering testing effort and multivariate fault detection rate  

作　　者：Jie Zhang Yang Lu Shu Yang Chong Xu 

机构地区：[1]School of Computer and Information, Hefei University of Technology, Hefei 230009, China [2]School of Mathematics and Computer Science, Anhui Normal University, Wuhu 241003, China

出　　处：《Journal of Systems Engineering and Electronics》2016年第1期260-270,共11页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61070220);the Anhui Provincial Natural Science Foundation(1408085MKL79)

摘　　要：In recent decades,many software reliability growth models（SRGMs） have been proposed for the engineers and testers in measuring the software reliability precisely.Most of them is established based on the non-homogeneous Poisson process（NHPP）,and it is proved that the prediction accuracy of such models could be improved by adding the describing of characterization of testing effort.However,some research work indicates that the fault detection rate（FDR） is another key factor affects final software quality.Most early NHPPbased models deal with the FDR as constant or piecewise function,which does not fit the different testing stages well.Thus,this paper first incorporates a multivariate function of FDR,which is bathtub-shaped,into the NHPP-based SRGMs considering testing effort in order to further improve performance.A new model framework is proposed,and a stepwise method is used to apply the framework with real data sets to find the optimal model.Experimental studies show that the obtained new model can provide better performance of fitting and prediction compared with other traditional SRGMs.In recent decades,many software reliability growth models（SRGMs） have been proposed for the engineers and testers in measuring the software reliability precisely.Most of them is established based on the non-homogeneous Poisson process（NHPP）,and it is proved that the prediction accuracy of such models could be improved by adding the describing of characterization of testing effort.However,some research work indicates that the fault detection rate（FDR） is another key factor affects final software quality.Most early NHPPbased models deal with the FDR as constant or piecewise function,which does not fit the different testing stages well.Thus,this paper first incorporates a multivariate function of FDR,which is bathtub-shaped,into the NHPP-based SRGMs considering testing effort in order to further improve performance.A new model framework is proposed,and a stepwise method is used to apply the framework with real data sets to find the optimal model.Experimental studies show that the obtained new model can provide better performance of fitting and prediction compared with other traditional SRGMs.

关 键 词：software reliability software reliability growth mo del（SRGM） testing effort fault detection rate（FDR）. 

分 类 号：TP311.53[自动化与计算机技术—计算机软件与理论]