Title :
An Innovative Approach to Randomising Quasi-random Sequences and Its Application into Software Testing
Author :
Liu, Huai ; Chen, Tsong Yueh
Author_Institution :
Centre for Software Anal. & Testing, Swinburne Univ. of Technol., Hawthorn, VIC, Australia
Abstract :
Quasi-random sequences, which can evenly spread points across a hypercube, have been widely used in various areas. Recently, quasi-random testing technique, which makes use of quasi-random sequences to generate test cases, was proposed, and it normally has a higher failure-detection capability than pure random testing. However, there exist only a few distinct quasi-random sequences in the literature, and all these sequences are deterministic rather than random. Therefore, the applicability of quasi-random sequences in testing is restricted. In this paper, we propose a new approach to randomising quasi-random sequences. Out approach can generate many distinct randomised quasi-random sequences that have even distributions of points. The experimental results also show that these sequences can significantly enhance the effectiveness of random testing.
Keywords :
program testing; failure detection capability; quasirandom testing technique; randomizing quasirandom sequences; software testing; Application software; Computational modeling; Dispersion; Hypercubes; Path planning; Random sequences; Region 1; Software quality; Software testing; Subspace constraints; Adaptive Random Testing; Non-Uniform Distribution; Quasi-Random Testing; Random Testing; Software Testing;
Conference_Titel :
Quality Software, 2009. QSIC '09. 9th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4244-5912-4
DOI :
10.1109/QSIC.2009.16