SOME NEW MODELS OF SOFTWARE TESTING WITH PERFORMANCE COMPARISONS

被引：8

作者：

DOWNS, T

GARRONE, P

机构：

[1] Intelligent Machines Laboratory, Department of Electrical Engineering, University of Queensland, Queensland

[2] NSW, 6/53 Corrimal Street

来源：

IEEE TRANSACTIONS ON RELIABILITY | 1991年 / 40卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

SOFTWARE TESTING; SOFTWARE RELIABILITY; STOCHASTIC MODELS; PERFORMANCE MODELS;

D O I：

10.1109/24.85452

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Two models of software testing, developed previously by T. Downs, are generalised to incorporate a greater degree of realism. This generalisation leads to three new models. A fourth (new) model, which has been developed using a rather different line of reasoning, is also presented. The performance of these models as reliability predictors is then assessed by applying them to 16 sets of failure data collected from various software development projects. Comparisons of performance are made with the two earlier models and with two variants of another model that has appeared frequently in the literature. Three distinct measures of performance are employed. The performance of the new models is generally superior to that of the older models with one model showing outstanding performance under all three measures.

引用

页码：322 / 328

页数：7

共 8 条

[1] EVALUATION OF COMPETING SOFTWARE-RELIABILITY PREDICTIONS [J].