NDLI: Computational Investigations of Quasirandom Sequences in Generating Test Cases for Specification-Based Tests

Content Provider	IEEE Xplore Digital Library
Author	Hongmei Chi Jones, E.L.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Florida A&M Univ., Tallahassee, FL (Hongmei Chi; Jones, E.L.)
Abstract	This paper presents work on generation of specification-driven test cases based on quasirandom (low-discrepancy) sequences instead of pseudorandom numbers. This approach is novel in software testing. This enhanced uniformity of quasirandom sequences leads to faster generation of test cases covering all possibilities. We demonstrate by examples that quasirandom sequences can be a viable alternative to pseudorandom numbers in generating test cases. In this paper, we present a method that can generate test cases from a decision table specification more effectively via quasirandom numbers. Analysis of a simple problem in this paper shows that quasirandom sequences achieve better data than pseudorandom numbers, and have the potential to converge faster and so reduce the computational burden. The use of different quasirandom sequences for generating test cases is presented in this paper
Starting Page	975
Ending Page	980
File Size	321141
Page Count	6
File Format	PDF
ISBN	1424405009
DOI	10.1109/WSC.2006.323184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Convergence Random number generation System testing Random sequences Computational modeling Computer aided software engineering Monte Carlo methods Computer graphics Finance
Content Type	Text
Resource Type	Article

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