A New Method of Reducing Pair-wise Combinatorial Test Suite
- Lixin Wang
- Renxia Wan
Abstract
The biggest problem for combinatorial test is a numerous number of combinations of input parameters by combinatorial explosion. Pair-wise combinatorial coverage testing is an effective method which can reduce the test cases in a suite and is able to detect about 70% program errors. But, under many circumstances, the parameters in programs under test (PUTs) have relations with each other. So there are some ineffective test cases in pair-wise combinatorial test suites. In this paper, we propose a method of reducing ineffective combinatorial test cases from pair-wise test suite. The main ideas of the method is that we firstly analyzes the dependent relationships among input parameters, then use the relationships to reduce ineffective pair-wise combinations of input parameters, and lastly generate the pair-wise combinatorial coverage test suite. The experiments show that the method is feasible and effective, and considerably reduce the number of pair-wise combinatorial test cases for some programs under test.
- Full Text: PDF
- DOI:10.5539/cis.v3n1p35
Journal Metrics
WJCI (2022): 0.636
Impact Factor 2022 (by WJCI): 0.419
h-index (January 2024): 43
i10-index (January 2024): 193
h5-index (January 2024): N/A
h5-median(January 2024): N/A
( The data was calculated based on Google Scholar Citations. Click Here to Learn More. )
Index
- Academic Journals Database
- BASE (Bielefeld Academic Search Engine)
- CiteFactor
- CNKI Scholar
- COPAC
- CrossRef
- DBLP (2008-2019)
- EBSCOhost
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- Google Scholar
- Harvard Library
- Infotrieve
- LOCKSS
- Mendeley
- PKP Open Archives Harvester
- Publons
- ResearchGate
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- The Index of Information Systems Journals
- The Keepers Registry
- UCR Library
- Universe Digital Library
- WJCI Report
- WorldCat
Contact
- Chris LeeEditorial Assistant
- cis@ccsenet.org