Comparison of adaptive random testing and random testing under various testing and debugging scenarios
Article first published online: 2 SEP 2011
Copyright © 2011 John Wiley & Sons, Ltd.
Software: Practice and Experience
Volume 42, Issue 8, pages 1055–1074, August 2012
How to Cite
Liu, H., Kuo, F.-C. and Chen, T. Y. (2012), Comparison of adaptive random testing and random testing under various testing and debugging scenarios. Softw: Pract. Exper., 42: 1055–1074. doi: 10.1002/spe.1113
- Issue published online: 6 JUL 2012
- Article first published online: 2 SEP 2011
- Australian Research Council Discovery Grant. Grant Number: DP0880295
- software testing;
- random testing;
- adaptive random testing;
- failure-detection effectiveness;
- testing effectiveness metric
Adaptive random testing is an enhancement of random testing. Previous studies on adaptive random testing assumed that once a failure is detected, testing is terminated and debugging is conducted immediately. It has been shown that adaptive random testing normally uses fewer test cases than random testing for detecting the first software failure. However, under many practical situations, testing should not be withheld after the detection of a failure. Thus, it is important to investigate the effectiveness with respect to the detection of multiple failures. In this paper, we compare adaptive random testing and random testing under various scenarios and examine whether adaptive random testing is still able to use fewer test cases than random testing to detect multiple software failures. Our study delivers some interesting results and highlights a number of promising research projects. Copyright © 2011 John Wiley & Sons, Ltd.