Mirror adaptive random testing

被引：17

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：

THIRD INTERNATIONAL CONFERENCE ON QUALITY SOFTWARE, PROCEEDINGS | 2003年

关键词：

Adaptive Random Testing; random testing; black box testing; test case selection; software testing;

D O I：

10.1109/QSIC.2003.1319079

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Adaptive random testing (ART) has recently been introduced to improve the fault-detection effectiveness of random testing (RT) for certain types of failure-causing patterns. However, ART requires extra computations to ensure an even spread of test cases, which may render ART to be less cost-effective than RT In this paper, we introduce an innovative approach, namely Mirror Adaptive Random Testing (MART), to reduce these computations. Our simulation results clearly show that MART does improve the cost-effectiveness of ART.

引用

页码：4 / 11

页数：8

共 14 条

[1]

[Anonymous], 1998, CAMBRIDGE DICT STAT, DOI DOI 10.1017/CBO9780511779633

[2] Proportional sampling strategy: Guidelines for software testing practitioners [J].