Title :
Test Case Generation for Non-functional and Functional Testing of Services
Author :
Meixler, Simone ; Brinkschulte, Uwe
Author_Institution :
Dept. of Comput. Sci., Johann Wolfgang Goethe Univ., Frankfurt am Main, Germany
Abstract :
Testing services offered at runtime is gaining more and more importance. This arises because the number of applications in which services don´t know each other a priori grows and occurring faults can cause high costs. The approach proposed here uses testing to assure QoS properties like e.g. real-time features and functionality of services. A challenge of testing is not to overload the service providing systems. Furthermore tests also have to adapt automatically to the currently offered services as well as to the usage of these services. We present an approach for testing services, which fulfills these challenges and is based on a genetic algorithm. To rate a functional result, the majority vote is used.
Keywords :
genetic algorithms; program testing; quality of service; software architecture; ubiquitous computing; QoS properties; functional service testing; genetic algorithm; majority vote; nonfunctional service testing; quality of service; test case generation; testing services; Computer science; Counting circuits; Delay; Distributed computing; Genetic algorithms; Quality of service; Runtime; Service oriented architecture; System testing; Voting; QoS properties; genetic algorithm; test case generation;
Conference_Titel :
Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC), 2010 13th IEEE International Symposium on
Conference_Location :
Carmona, Seville
Print_ISBN :
978-1-4244-7083-9
Electronic_ISBN :
1555-0885
DOI :
10.1109/ISORC.2010.20