Augmented Diagnosis and Testing for SOAs - Audit 4 SOAs

01.05.2011 - 30.09.2014
Research funding project
This project addresses one of the current major problems in SOA (= Service Oriented Architectures) development: testing support (CP06). In particular, our project is focused on a systematic testing and diagnosis approach of complex SOAs with the help of real world quality environments. While this is an intricate task and has not been sufficiently addressed so far, we regard the lack of corresponding research as a serious issue that is slowing down research and development in the SOA domain. Furthermore, to decrease time-to-market, enable rapid prototyping of research ideas and product candidates, as well as enhance general design quality in this complex and subtle domain, researchers and engineers have to be assisted in the design and verification process. Our achievements will provide the language and methodology for modeling SOA-based systems and then automatically derive test-suites and corresponding testbeds that provide test environments of real world quality. Our diagnosis engine will enable the user to isolate faults in the case of failing test cases via model-based diagnosis. Combining model-based diagnosis and testing, our methodology and technology will furthermore provide discriminating tests in case of multiple diagnoses, and will enrich the test-generation process with techniques that draw on the fault modes defined for model-based diagnosis (MBD). With this project we will enable a know-how transfer between several research communities and expect to sparkle new research ideas in those communities with our results.

People

Project leader

Project personnel

Institute

Grant funds

  • FWF - Österr. Wissenschaftsfonds (National) Austrian Science Fund (FWF)

Research focus

  • Distributed and Parallel Systems: 100%

Keywords

GermanEnglish
model-based Diagnosemodel-based diagnosis
mode-based Testsmodel-based testing
service-oriented Architekturservice-oriented architectures
service-oriented Computingservice-oriented computing

External partner

  • Technische Universität Graz Institut für Softwaretechnologie

Publications