Adaptive Random Testing Through Dynamic Partitioning

Q
QSIC
2004
Quality Software, Fourth International Conference on (QSIC'04)
Abstract - Adaptive Random Testing Through Dynamic Partitioning

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Quality Software, Fourth International Conference on (QSIC'04)

Braunshweig, Germany

September 08-September 10

ISBN: 0-7695-2207-6

	ASCII Text	x
	T. Y. Chen, R. Merkel, G. Eddy, P. K. Wong, "Adaptive Random Testing Through Dynamic Partitioning," Quality Software, International Conference on, pp. 79-86, Quality Software, Fourth International Conference on (QSIC'04), 2004.

	BibTex	x
	@article{ 10.1109/QSIC.2004.1357947, author = {T. Y. Chen and R. Merkel and G. Eddy and P. K. Wong}, title = {Adaptive Random Testing Through Dynamic Partitioning}, journal ={Quality Software, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2207-6}, pages = {79-86}, doi = {http://doi.ieeecomputersociety.org/10.1109/QSIC.2004.1357947}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Quality Software, International Conference on TI - Adaptive Random Testing Through Dynamic Partitioning SN - 0-7695-2207-6 SP79 EP86 A1 - T. Y. Chen, A1 - R. Merkel, A1 - G. Eddy, A1 - P. K. Wong, PY - 2004 KW - random testing KW - adaptive random testing KW - partition testing KW - proportional sampling strategy VL - 0 JA - Quality Software, International Conference on ER -

T. Y. Chen, Swinburne University of Technology, Australia

R. Merkel, Swinburne University of Technology, Australia

G. Eddy, The University of Melbourne, Australia

P. K. Wong, Hong Kong Institute of Vocational Education (Sha Tin), Hong Kong

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/QSIC.2004.1357947

Adaptive Random Testing (ART) describes a family of algorithms for generating random test cases that have been experimentally demonstrated to have greater fault-detection capacity than simple random testing. We outline and demonstrate two new ART algorithms, and demonstrate experimentally that they offer similar performance advantages, with considerably lower overhead than other ART algorithms.

Index Terms:

random testing, adaptive random testing, partition testing, proportional sampling strategy

Citation:

T. Y. Chen, R. Merkel, G. Eddy, P. K. Wong, "Adaptive Random Testing Through Dynamic Partitioning," qsic, pp.79-86, Quality Software, Fourth International Conference on (QSIC'04), 2004

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