Model and Inference Driven, Automated testing of S.. (MIDAS)
Model and Inference Driven, Automated testing of Services architectures
Date du début: 1 sept. 2012,
Date de fin: 31 oct. 2015
The subject of this proposal is a three year project whose objective is an integrated framework for SOA testing automation that will be available as a Platform as a Service (PaaS) on a cloud infrastructure. The framework spans all the testing activities: test generation, execution, evaluation, planning and scheduling, on the functional, interaction, fault tolerance, security and usage-based testing aspects. The focus is on SOA testing, i.e. on black box testing of single services and on grey-box testing of services architectures. The test execution environment will be based on a distributed TTCN-3 runtime environment. The testing methods and technologies that are investigated and prototyped in the project are beyond the state of the art, particularly on model-based testing, model checking of choreographies for sound interaction test scenarios, fuzzing for security testing, usage-based testing, probabilistic inference reasoning about test evaluation, planning and scheduling. After the specification of the framework architecture and of the detailed interfaces between its components, the project activity will follow best practices such as: (a) agile and concurrent component research and prototyping (b) incremental integration and short testing/debugging cycle of the platform. An important project objective is the pilot application of the MIDAS framework to two real-world services architectures, in the domains of healthcare and supply chain management. Another important activity is a research about the economic impact of the inadequate (SOA) testing infrastructure. Amongst dissemination activities, it should be noticed the partners participation to European and international standard bodies, organizations and projects (ETSI, CEN, OMG, HL7, IHE) in order to promote the MIDAS results and approach. The MIDAS partners are universities, research centers and small and medium size innovative enterprises and for-no-profit organizations.
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