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Genom3 Templates: From Middleware Independence To Formal Models Synthesis

Authors: Foughali, Mohammed; Ingrand, Félix; Mallet, Anthony;

Genom3 Templates: From Middleware Independence To Formal Models Synthesis

Abstract

GenoM is an approach to develop robotic software components, which can be controlled, and assembled to build complex applications. Its latest version GenoM3, provides a template mechanism which is versatile enough to deploy components for different middleware without any change in the specification and user code. But this same template mechanism also enables us to automatically synthesize formal models (for two Validation and Verification frameworks) of the final components. We illustrate our approach on a real deployed example of a drone flight controller for which we prove offline real-time properties, and an outdoor robot for which we synthesize a controller to perform runtime verification.

Country
France
Keywords

robotics, Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Software Engineering, validation and verification, [INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC], [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], robot programming, Robotics (cs.RO), [INFO.INFO-ES] Computer Science [cs]/Embedded Systems

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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