On favourable conditions for adaptive random testing

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/30085

Title: On favourable conditions for adaptive random testing
Author(s): Chen, Tsong Yueh; Kuo, Fei-Ching; Zhou, Zhi Quan
Abstract: Recently, adaptive random testing (ART) has been developed to enhance the fault-detection effectiveness of random testing (RT). It has been known in general that the fault-detection effectiveness of ART depends on the distribution of failure-causing inputs, yet this understanding is in coarse terms without precise details. In this paper, we conduct an in-depth investigation into the factors related to the distribution of failure-causing inputs that have an impact on the fault-detection effectiveness of ART. This paper gives a comprehensive analysis of the favourable conditions for ART. Our study contributes to the knowledge of ART and provides useful information for testers to decide when it is more cost-effective to use ART.
Publication type: Journal article
Research centre: Swinburne University of Technology. Faculty of Information and Communication Technologies
Source: International Journal of Software Engineering and Knowledge Engineering, Vol. 17, no. 6 (Dec 2007), p. 805-825
Publication year: 2007
Keyword(s): Adaptive random testing; ART F-ratio; Distribution of failure-causing inputs; Fault-detection effectiveness; Random testing; RT; Software testing
Publisher: World Scientific
ISSN: 0218-1940
Publisher URL: http://dx.doi.org/10.1142/S0218194007003501
Peer reviewed