|Authors||M. Zhang, S. Ali, T. Yue, R. Norgren and O. Okariz|
|Title||An Integrated Modeling Framework to Facilitate Model-Based Testing of Cyber-Physical Systems under Uncertainty|
|Publication Type||Technical reports|
|Year of Publication||2016|
|Publisher||Simula Research Laboratory|
|Keywords||Uncertainty; Cyber-Physical System; UML Profile; Model-based Testing|
Undertaking innate uncertainty during the operation of Cyber-Physical Systems (CPSs) is crucial for their intact behavior. One method to handle such uncertainty is using Model-based Testing (MBT); however, existing MBT techniques do not explicitly capture uncertainty in test ready models that capture expected behavior of a CPS and its operating environment. To fill this gap, we present an Uncertainty-Wise test-modeling framework, named as Uncertum, to create test ready models to support MBT of CPSs facing uncertainty. Uncertum relies on the definition of a UML profile (the UML Uncertainty Profile (UUP)) and a set of UML model libraries extending the UML profile for Modeling and Analysis of Real-Time and Embedded Systems (MARTE). Uncertum also benefits from the UML Testing Profile (UTP) V.2 to support standard-based MBT. Uncertum was evaluated with two industrial CPS case studies, one real world and one open source CPS case study from the following four perspectives: 1) Completeness and Coverage of the profiles and model libraries in terms of concepts defined in their underlying uncertainty conceptual model for CPSs (i.e., U-Model and MARTE, 2) Effort required to model uncertainty with Uncertum, and 3) Correctness of the developed test ready models, which was assessed via model execution.
This work is supported by U-Test project (Testing Cyber-Physical Systems under Uncertainty).