Toolchain Based on MDE for the Transformation of AADL Models to Timed Automata Models

Abstract

In this work, we propose an approach for the verification of the AADL architecture. This approach is based on Model Driven Engineering (MDE) and assisted by a toolchain. Indeed, we define a source meta-model for AADL and a target meta-model for the timed automata formalism; we define a transformation process in two steps: the first is a Model2 Model transformation which takes an AADL Model and produces the corresponding timed automata model. The second transformation is a Model2 Text transformation which takes a timed automata model and generates a text in ta-format code. This code is accepted by the Uppaal toolbox. A case study has been developed to show the feasibility and validity of the proposed approach.

Improving consistency of AADL models: A composition approach

“…It starts with a set of AADL models that will be transformed individually into timed automatons. In Hamdane et al 12 , the authors have described this transformation. Then, the CATA algorithm "Composition Algorithm for Timed Automata" is applied on a set of timed automatons to get a composed one.…”

“…In Hamdane et al. 12 , the authors have described this transformation. Then, the CATA algorithm “Composition Algorithm for Timed Automata” is applied on a set of timed automatons to get a composed one.…”

“…The multicamera surveillance system formation rules adapted from Hamdane et al 12 as mentioned in Section 4.…”

“…Furthermore, this language was designed to be extensible, using either properties or by defining annexes that can be extended according to some specific situations 12 . To specify how an AADL model should be executed, several AADL annexes have been approved and published, such as behavioral annex.…”

Model-Driven Engineering Approach for Simulating Virtual Devices in the OSATE 2 Environment

“…It describes a modeling approach exploiting the new features of AADL version 2 for the design of ARINC653 architectures. In [2] authors propose an approach for the verification of the AADL architecture, which is assisted by a toolchain and defining a source meta-model for AADL and a target meta-model for the timed automata formalism; authors also define a transformation process in two steps, a Model2Model transformation and a transformation of a Model2Text. In [3] authors present a verification tool called ABV tailored for AADL models with a behavioral annex, in which given an architecture defined in AADL and its behavior specified in the associated language, their tool model-checks the latter against the requirements specified in Computation Tree Logic (CTL).…”