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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/5789
- Adaptive random testing through iterative partitioning revisited
- Mayer, Johannes; Chen, T. Y.; Huang, De Hao
- Recently, Adaptive Random Testing through Iterative Partitioning (IP-ART) has been proposed as a random testing method that is more effective than pure Random Testing. Besides this, it is supposed to be equally effective as very good random testing techniques, namely Distance- Based Adaptive Random Testing and Restricted Random Testing, while only having between linear and quadratic runtime. In the present paper, it is investigated what influence the ratio of width and height of a rectangular input domain has on the effectiveness of various Adaptive Random Testing methods. Based on our findings, an improved version of IP-ART is proposed. The effectiveness of the new method is also analyzed for various ratios of width and height of the input domain.
- Publication type
- Conference paper
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies
- ACM Foundations of Software Engineering Series: proceedings of the 3rd International Workshop on Software Quality Assurance (SOQUA 2006), Portland, Oregon, United States, 06 November 2006, pp. 22-29
- Publication year
- Adaptive Random Testing; Algorithms; Debugging; Life testing; Probability; Random Testing; Reliability; Software engineering; Statistics; Test case selection; Testing tools; Verification
- ACM Press
- Publisher URL
- Copyright © 2006 ACM.
- Peer reviewed