Normalized restricted random testing

Kwok Ping Chan; Tsong Yueh Chen; Dave Towey

doi:10.1007/3-540-44947-7_28

Normalized restricted random testing

Kwok Ping Chan, Tsong Yueh Chen, Dave Towey

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

31 Citations (Scopus)

Abstract

Restricted Random Testing (RRT) is a new method of testing software that improves upon traditional random testing (RT) techniques. This paper presents new data in support of the efficiency of RRT, and presents a variation of the algorithm, Normalized Restricted Random Testing (NRRT). NRRT permits the tester to have better information about the target exclusion rate (R) of RRT, the main control parameter of the method. We examine the performance of the NRRT and Original RRT (ORRT) methods using simulations and experiments, and offer some guidance for their use in practice.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Jean-Pierre Rosen, Alfred Strohmeier
Publisher	Springer Verlag
Pages	368-381
Number of pages	14
ISBN (Print)	9783540449478
DOIs	https://doi.org/10.1007/3-540-44947-7_28
Publication status	Published - 2003
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2655
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-44947-7_28

Cite this

Chan, K. P., Chen, T. Y., & Towey, D. (2003). Normalized restricted random testing. In J.-P. Rosen, & A. Strohmeier (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 368-381). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2655). Springer Verlag. https://doi.org/10.1007/3-540-44947-7_28

Chan, Kwok Ping ; Chen, Tsong Yueh ; Towey, Dave. / Normalized restricted random testing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Jean-Pierre Rosen ; Alfred Strohmeier. Springer Verlag, 2003. pp. 368-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Chan, KP, Chen, TY & Towey, D 2003, Normalized restricted random testing. in J-P Rosen & A Strohmeier (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2655, Springer Verlag, pp. 368-381. https://doi.org/10.1007/3-540-44947-7_28

Normalized restricted random testing. / Chan, Kwok Ping; Chen, Tsong Yueh; Towey, Dave.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Jean-Pierre Rosen; Alfred Strohmeier. Springer Verlag, 2003. p. 368-381 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2655).

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

TY - CHAP

T1 - Normalized restricted random testing

AU - Chan, Kwok Ping

AU - Chen, Tsong Yueh

AU - Towey, Dave

PY - 2003

Y1 - 2003

N2 - Restricted Random Testing (RRT) is a new method of testing software that improves upon traditional random testing (RT) techniques. This paper presents new data in support of the efficiency of RRT, and presents a variation of the algorithm, Normalized Restricted Random Testing (NRRT). NRRT permits the tester to have better information about the target exclusion rate (R) of RRT, the main control parameter of the method. We examine the performance of the NRRT and Original RRT (ORRT) methods using simulations and experiments, and offer some guidance for their use in practice.

AB - Restricted Random Testing (RRT) is a new method of testing software that improves upon traditional random testing (RT) techniques. This paper presents new data in support of the efficiency of RRT, and presents a variation of the algorithm, Normalized Restricted Random Testing (NRRT). NRRT permits the tester to have better information about the target exclusion rate (R) of RRT, the main control parameter of the method. We examine the performance of the NRRT and Original RRT (ORRT) methods using simulations and experiments, and offer some guidance for their use in practice.

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DO - 10.1007/3-540-44947-7_28

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SN - 9783540449478

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 368

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Rosen, Jean-Pierre

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ER -

Chan KP, Chen TY, Towey D. Normalized restricted random testing. In Rosen JP, Strohmeier A, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 368-381. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44947-7_28

Normalized restricted random testing

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