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D. Winkler, K. Meixner, S. Biffl:
"Towards Flexible and Automated Testing in Production Systems Engineering Projects";
Vortrag: 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy; 04.09.2018 - 07.09.2018; in: "Proceedings of the 23rd International Conference on Emerging Technologies and Factory Automation", IEEE, (2018), ISBN: 978-1-5386-7108-5; S. 169 - 176.

Automated and systematic testing of automation
systems (AS) and production systems (PS) require an integrated
testing tool chain for test case development, execution and
reporting. In practice, the test automation tool chain cannot be
fully automated because of missing links between different tools
used in the test automation process. Closing these gaps typically
require (high) human effort. Furthermore, domain and software
testing expertise is often bundled by one (expensive) engineer
who is responsible for the application domain (reflected in use
cases and test cases) and software tests (software test code). This
paper presents a flexible Testing Automation Framework (TAF)
that enables the configuration of test processes involving
different tools and various layers for test automation and enables
separated roles for the application domain and software tests. We
build on best-practice test automation from Software
Engineering and design a test automation process for the
automation systems domain. We demonstrate the feasibility with
a use case, derived from production systems automation, with
selected tools covering all test automation layers. First results
showed the feasibility of the framework in the evaluation use case
making test processes more flexible and automated. Although the
successful implementation of the TAF can support the efficient
configuration and execution of test processes, there is additional
effort for preparing the flexible and automated tool chain.

software and system testing, test automation framework, automation systems, production systems, test configuration, feasibility study

http://dx.doi.org/10.1109/ETFA.2018.8502650