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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vilkomir, S.A. Swain, W.T. Poore, J.H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Tennessee, Knoxville (Vilkomir, S.A.; Swain, W.T.; Poore, J.H.) |
| Abstract | A method of using Markov chain techniques for combinatorial test case selection is presented. The method can be used for statistical and coverage testing of many software programs, in particular for scientific computational software. The central point of the approach is modeling of dependencies between input parameters. Several different types of such dependencies are considered and models for each situation are created. Based on these models, test cases can be automatically generated and executed. Results of using the JUMBL tool for analyzing models and generating test cases are described. |
| Starting Page | 3 |
| Ending Page | 8 |
| File Size | 598494 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769530990 |
| DOI | 10.1109/ITNG.2008.80 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-04-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software testing System testing Automation Statistical analysis software testing Laboratories test case selection Application software Information technology Combinatorial mathematics Markov chain input parameters Automatic testing test case generation Software quality |
| Content Type | Text |
| Resource Type | Article |
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