Feature Models vs BDD size: Impact analysis

PDF of the proposal

We work on an approach that leverages feature models for acquiring a compact representation of a set of valid configurations of a system in the form of a JavaBIP model used to control the software system at run time. The goal of this project is to propose and evaluate new approaches to the analysis of the impact of the feature model shape on the size of the Binary Decision Diagrams (BDDs) that encode it in JavaBIP (and thereby on the ensuing JavaBIP engine overhead).

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Aggregate measures for control and coordination of IoT systems

PDF of the proposal

The main goal of this project is to propose specification mechanisms for the coordination and control based on aggregate measures, such as the percentage of entities in a given state, e.g. if less than 75% of system blocks have enough charge to emit light for 5 minutes, then 20% of these blocks shall switch off their speakers (thus allowing these blocks to continue emitting light for a longer period).

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Self-adaptive modular robots: formal modeling for validation and coordination

The main objective of this project is to contribute to the implementation of modular robots by developing a formal framework to model, validate and coordinate their dynamic behaviours. The scientific challenges consist in particular in the ability to model the dynamic evolution of this type of complex systems—their adaptation and reconfiguration—by taking into account constraints on resources as well as events occurring in their execution environment.

This project is submitted for joint funding with the French Agency for Defence Innovation (AID). Therefore, we are currently looking only for candidates holding EU, United Kingdom or Swiss citizenship.

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