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WP2 Test Modeling, Test Generation and Test Execution with Model-Based Testing
In this document, we provide an overview of state of the art model-based testing technologies. A concrete case study with both discrete and continuous system models is exemplified for possible testing solutions by existing technologies. At last, we discuss model-based testing applied to the domains of automotive, telecommunication, and automation. We state the problems in the appropriate domains for MBT and propose possible solution of modeling and testing the systems.
link to the public version of D.2.1.v2.1:
D.2.1.v2.1_FINAL.pdf
WP2 Model-based test process, test validation, test prioritization and selection
This document addresses the D-MINT results of work package 2 tasks 2.3 (model-based test evaluation, prioritization and, selection), 2.4 (model-based test validation), and 2.6 (model-based test processes). It presents methodological approaches and concepts as well as test process measurement and specific metrics in the context of selected D-MINT case studies.
For more information contact Tomi Räty (VTT)
WP2 Model-based monitoring
Model-based monitoring is a specific form of model-based testing which is applicable to both the pre-production and post-production, i.e., online, phases of a system. Online testing indicates that a connection is made to a system under test and it is tested dynamically during execution.
Model-based monitoring software components may be applied either: 1) solely to the pre-production phases of systems development, i.e., they are eradicated before the system is launched, or 2) the post-production, i.e., online, phases of the system. In either of these phases, the model-based monitoring can discharge the actions of 1) collecting the monitored information, or 2) collecting and responding to the monitored information.
The most distinctive differentiations between model-based testing and model-based monitoring are the ensuing: 1) model-based monitoring may perform certain reactions, e.g., failure elimination or mitigation, to particular inputs, outputs and states, and 2) model-based monitoring can be utilized in post-production, i.e., online systems, to locate errors and predicaments that incur in the system.
In the deliverable, we provide an overview of modern model-based monitoring (MBM) methods. We outline a model-based monitoring approach based on existing MBM technologies and methods. For the D-MINT project, the model-based monitoring can discharge the actions of 1) collecting the monitored information, or 2) collecting and responding to the monitored information. For these, we propose a high-level architecture for model-based monitoring.
A concrete use case is exemplified for possible model-based monitoring methods. Finally, we discuss about model-based monitoring methods in practice applied to the use case.
For more information contact Tomi Räty (VTT)
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