Talks and Poster Presentations (with Proceedings-Entry):

T Moser, G. Dürr, S. Biffl:
"Ontology-Based Test Case Generation For Simulating Complex Production Automation Systems";
Talk: Twenty-Second International Conference on Software Engineering and Knowledge Engineering (SEKE 2010), San Fransisco Bay, USA; 2010-07-01 - 2010-07-03; in: "Proc. Twenty-Second International Conference on Software Engineering and Knowledge Engineering (SEKE 2010)", Knowledge Systems Institute, (2010), ISBN: 1-891706-26-8; 478 - 482.

English abstract:
The behavior of complex production automation
systems is hard to predict, therefore simulation is used to study
the likely system behavior. However, in a real-world system
many parameter variants need to be tested with limited resources.
Therefore, test cases need to be generated in a systematic
way to find suitable scenarios efficiently. This paper
investigates the effort of two approaches for providing test
cases based on available testing knowledge. The traditional
approach uses a static generator script based on implicit testing
knowledge, which takes significant effort to add new parameters.
The innovative approach uses a dynamic generic
generator script based on an ontology data model of the testing
knowledge. We empirically evaluate these approaches with a
use case from the production automation domain. Major result
is that the high-level test description of the ontology-based
approach takes more initial effort for setup, but increases the
usability and reduces the risk of errors during the test case
generation process.

test case generation, ontology, production automation simulation, explicit testing knowledge

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.