Authors:
- Introduces readers to an advanced combinatorial testing approach that delivers outstanding efficiency and effectiveness
- Provides a combinatorial testing solution for the cloud environment
- Addresses both theoretical and practical aspects of combinatorial testing and Testing-as-a-Service
- Uses mathematical methods to detect fault locations and eliminate potential faults from testing considerations based on existing testing results
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (9 chapters)
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Front Matter
About this book
Authors and Affiliations
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Arizona State University, Temple, USA
Wei-Tek Tsai
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Arizona State University , Tempe, USA
Guanqiu Qi
About the authors
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.
Bibliographic Information
Book Title: Combinatorial Testing in Cloud Computing
Authors: Wei-Tek Tsai, Guanqiu Qi
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-981-10-4481-6
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2017
Softcover ISBN: 978-981-10-4480-9Published: 03 November 2017
eBook ISBN: 978-981-10-4481-6Published: 24 October 2017
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: X, 128
Number of Illustrations: 18 b/w illustrations, 37 illustrations in colour
Topics: Software Engineering, Simulation and Modeling, System Performance and Evaluation