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Combinatorial Testing in Cloud Computing
Details
Introduces readers to an advanced combinatorial testing approach that delivers outstanding efficiency and effectivenessProvides a combinatorial testing solution for the cloud environmentAddresses both theoretical and practical aspects of combinatorial testing and Testing-as-a-ServiceUses mathematical methods to detect fault locations and eliminate potential faults from testing considerations based on existing testing results
Autorentext
Wei-Tek Tsai is currently a professor at both the School of Computing Informatics and Decision Systems Engineering at Arizona State University, USA and the School of Computer Science and Engineering at Beihang University, China. He received his PhD and MS in Computer Science from the University of California at Berkeley, and his BS in Computer Science and engineering from MIT. He has produced over 400 papers in various journals and conferences, received two Best Paper awards, and awarded several Guest Professorships. His work has been supported by the US Department of Defense, Department of Education, National Science Foundation, the EU, and industrial companies such as Intel, Fujitsu and Guidant. In the last ten years, he has focused his energies on service-oriented computing and SaaS, as well as various aspects of software engineering including blockchain, architecture, testing, and maintenance.
Guanqiu Qi received his PhD in Computer Science from Arizona State University in 2014. His research interests span many aspects of software engineering, such as SaaS (Software-as-a-Service), TaaS (Testing-as-a-Service), Big Data Testing, Combinatorial Testing, and Service-Oriented Computing, as well as blockchain.
Inhalt
- 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.<p
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811044809
- Genre Information Technology
- Auflage 1st ed. 2017
- Lesemotiv Verstehen
- Anzahl Seiten 128
- Größe H235mm x B155mm
- Jahr 2017
- EAN 9789811044809
- Format Kartonierter Einband
- ISBN 978-981-10-4480-9
- Veröffentlichung 03.11.2017
- Titel Combinatorial Testing in Cloud Computing
- Autor Wei-Tek Tsai , Guanqiu Qi
- Untertitel SpringerBriefs in Computer Science
- Gewicht 2234g
- Herausgeber Springer-Verlag GmbH
- Sprache Englisch