Beschreibung
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
Autorenporträt
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.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
