Combinatorial Testing in Cloud Computing
Series: SpringerBriefs in Computer Science;
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22 184 Ft
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Product details:
- Edition number 1st ed. 2017
- Publisher Springer Nature Singapore
- Date of Publication 3 November 2017
- Number of Volumes 1 pieces, Book
- ISBN 9789811044809
- Binding Paperback
- No. of pages128 pages
- Size 235x155 mm
- Weight 2234 g
- Language English
- Illustrations X, 128 p. 55 illus., 37 illus. in color. Illustrations, black & white 0
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Long description:
This book introduces readers to an advanced combinatorial testing approach and its application in the cloud environment. Based on test algebra and fault location analysis, the proposed combinatorial testing method can support experiments with 250 components (with 2 * (250) combinations), and can detect the fault location based on the testing results. This function can efficiently decrease the size of candidate testing sets and therefore increase testing efficiency. The proposed solution’s effectiveness in the cloud environment is demonstrated using a range of experiments. Introduces readers to an advanced combinatorial testing approach that delivers outstanding efficiency and effectiveness
Table of Contents:
1. Introduction.- 2. Related Work.- 3. Adaptive Fault Detection in Multi-Tenancy SaaS.- 4. Test Algebra for Concurrent Combinatorial Testing.- 5. Algebra Execution with Combinatorial Testing.- 6. Test Algebra Execution in A Cloud Environment.- 7. Adaptive Reasoning Algorithm with Automated Test Cases Generation qnd Test Algebra in SaaS System.- 8. TaaS Design for Combinatorial Testing.- 9. Integrated TaaS with Fault Detection and Test Algebra.
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