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L. Berardinelli, H. Truong:
"Uncertainty-wise Engineering of IoT Cloud Systems: From System Models to Non-Functional Analyses, Deployment, and Testing";
Talk: 1st International Workshop on Model-Driven Engineering for the Internet of Things (MDE4IoT 2017) co-located with IoT 2017, Linz, Austria (invited); 2017-10-22 - 2017-10-25.

Today´s crucial applications in, e.g., smart cities, logistics, health-care and manufacturing rely on complex Internet of Things (IoT) and cloud system infrastructures. Such infrastructures consist of IoT devices, distributed storage, processing, and management services that need to elastic, i.e., adaptable to evolving physical and execution environments.
In this talk, we present our ongoing and future research efforts towards an uncertainty-wise model-driven engineering approach for elastic IoT Cloud Systems that, thanks to an uncertainty-wise feedback loop, suitably adapt to evolving physical and execution environments. We present our work that classifies and detects uncertainties on
IoT cloud infrastructure models. We briefly discuss how uncertainty-wise system models can feed transformations to deployment configurations, functional tests, and non-functional analyses models. We conclude our talks showing case studies and our tool suite in the H2020 U-Test project.

Project Head Hong-Linh Truong:
Testing Cyber-Physical Systems under Uncertainlty, Systematic, Extensible, and Configurable Model-based and Search-based Testing Methodologies