Title :
Integrated Adaptive Reasoning Testing Framework with Automated Fault Detection
Author :
Wei-Tek Tsai ; Guanqiu Qi
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
fDate :
March 30 2015-April 3 2015
Abstract :
Following development of Software-as-a-Service (SaaS), combinatorial testing technologies are used in SaaS testing. It is difficult to handle the exponential growth of SaaS testing workloads. This paper proposes a new integrated testing framework using Adaptive Reasoning algorithm with automated test cases generation (ARP) and Test Algebra (TA) to increase SaaS testing efficiency. ARP algorithm can rapidly identify and eliminate faulty combinations. The proposed integrated testing framework is simulated in cloud environment.
Keywords :
cloud computing; fault diagnosis; inference mechanisms; program testing; ARP; SaaS testing efficiency; TA; adaptive reasoning algorithm with automated test cases generation; automated fault detection; cloud environment; integrated adaptive reasoning testing framework; software-as-a-service; test algebra; Algorithm design and analysis; Cognition; Computational modeling; Scalability; Software as a service; Testing; Combinatorial Testing; Framework; SaaS;
Conference_Titel :
Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on
Conference_Location :
San Francisco Bay, CA
DOI :
10.1109/SOSE.2015.12