Mirror adaptive random testing

被引：64

作者：

Chen, TY ^{[1
]}

Kuo, FC ^{[1
]}

Merkel, RG ^{[1
]}

Ng, SP ^{[1
]}

机构：

[1] Swinburne Univ Technol, Sch Informat Technol, Hawthorn, Vic 3122, Australia

来源：

INFORMATION AND SOFTWARE TECHNOLOGY | 2004年 / 46卷 / 15期

基金：

澳大利亚研究理事会;

关键词：

mirroring; adaptive random testing; random testing; black-box testing; test case selection; software testing;

D O I：

10.1016/j.infsof.2004.07.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, adaptive random testing (ART) has been introduced to improve the fault-detection effectiveness of random testing for non-point types of failure patterns. However, ART requires additional computations to ensure an even spread of test cases, which may render ART less cost-effective than random testing. This paper presents a new technique, namely mirror ART, to reduce these computations. It is an integration of the technique of mirroring and ART. Our simulation results clearly show that mirror ART does improve the cost-effectiveness of ART. (C) 2004 Elsevier B.V. All rights reserved.

引用

页码：1001 / 1010

页数：10

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