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With respect to software engineering mechanisms for SA systems, (Weyns et al. 2012) present FORMS (FOrmal Reference Model for Self-adaptation): an unifying reference model for formal specification of distributed SA systems.
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However, the path is less clear towards using such models for formal science education.
We used mixed-effects modelling for formal analyses of sea lice abundances, with a random effect associated with sockeye sampling events.
We used generalised linear mixed models for formal statistical analyses.
This paper introduces a framework for formal modelling and validation of automation systems intended to be used by control engineers.
A conceptual and methodological framework for formal modeling, validating, and verifying distributed self-adaptive systems is presented in [5] by some of the authors of [37].
This analytical approach provides a model that can be used for mechanism-based mathematical models and for formal analyses of biological hypotheses.
Developers even maintain that their work can serve as a model for enhancing formal science education.
The outcome of this process was the EC Representation; a CDISC-compliant schema for organizing criteria along with a patient-centric model for their formal expression, properly linked with international classifications and codifications.
It integrates well into an industrial setting and forms an ideal bridge between the actual system being developed and the abstract models used for formal analysis.
Model transformation strategy for formal verification and code automatic generation for implementation in the framework are also presented.
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