Comparison of adaptive random testing and random testing under various testing and debugging scenarios

  • Authors:

  • Huai Liu;Fei-Ching Kuo;Tsong Yueh Chen

  • Affiliations:

  • Centre for Software Analysis and Testing, Swinburne University of Technology, Hawthorn 3122, Victoria, Australia;Centre for Software Analysis and Testing, Swinburne University of Technology, Hawthorn 3122, Victoria, Australia;Centre for Software Analysis and Testing, Swinburne University of Technology, Hawthorn 3122, Victoria, Australia

  • Venue:
  • Software—Practice & Experience
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.