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Corresponding author: Shen, P. ([e-mail])
Source title: International Journal of Digital Content Technology and its Applications
Abbreviated source title: Int. J. Digit. Content Technol. Appl.
Volume: 6
Issue: 23
Issue date: 2012
Publication year: 2012
Pages: 381-391
Language: English
ISSN: 19759339
E-ISSN: 22339310
Document type: Journal article (JA)
Publisher: Advanced Institute of Convergence Information Technology, Myoungbo Bldg
3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic of
Abstract: Software testing is essential to ensure that the software Quality. On most software
projects testing activities consume at least 30 percent of the project effort. On safety critical
applications, software testing can consume between 50 to 80 percent of project effort. While the
scale of software development and application expands dramatically, to guarantee the quality
and reliability of software is becoming a huge challenge. For the ever-expanding software to
reach the standard of Software Engineering, the best possible testing should be applied. During
the testing, automatic generation of test data is especially important for improving testing
efficiency. This paper presents the results of the author's study on problems and algorithms
related to the automatic generation of software testing data. Results indicated that the method
designed by the author can be used to perform iterative computation on needed data more
efficiently, and then reach an essentially feasible solution. Although the exploratory study
presented here proved rather demanding because few had adopted the approach, it has
achieved positive results in improving the validity and the temporal and spatial complexity of the
existent iterative algorithm.
Number of references: 18
Main heading: Software testing
Controlled terms: Algorithms - Computer software selection and evaluation -
Conjugate gradient method - Iterative methods - Nonlinear programming - Software
engineering - Software reliability
Uncontrolled terms: Automated test data generation - Automatic Generation -
Exploratory studies - Feasible solution - Gradient Descent method - Iterative algorithm
- Iterative computation - Iterative design - Optimal architecture - Program path -
Safety critical applications - Software project - Software Quality - Spatial complexity
- Test data - Testing efficiency
Classification code: 723 Computer Software, Data Handling and Applications - 921
Mathematics - 921.6 Numerical Methods
DOI: 10.4156/jdcta.vol6.issue23.43
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
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