Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/4411

Download PDF (Published version) (Adobe Acrobat PDF, -1 bytes)

Title

Mirror adaptive random testing

Author(s)

Chen, T. Y.;  Kuo, F. C.;  Merkel, R. G.;  Ng, S. P.

Abstract

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.

Publication type

Conference paper

Research centre

Swinburne University of Technology. School of Information Technology

Source

Proceedings of the 3rd International Conference on Quality Software (QSIC 2003), Dallas, Texas, United States, 06-07 November 2003, pp. 4-11

Publication year

2003

Publisher

IEEE

ISSN

0769520154

Publisher URL

http://dx.doi.org/10.1109/QSIC.2003.1319079

Copyright

Copyright © 2003 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed