  Today's ubiquitous computing ecosystem involves various kinds of hardware and
software technologies for different computing environments. As the result,
computing systems can be seen as integrated system of hardware and software
systems. Realizing such complex systems is crucial for providing safety,
security, and maintenance. This is while the characterization of computing
systems is not possible without a systematic procedure for enumerating
different components and their structural/behavioral relationships.
Architecture Reconstruction (AR) is a practice defined in the domain of
software engineering for the realization of a specific software component.
However, it is not applicable to a whole system (including HW/SW). Inspired by
Symphony AR framework, we have proposed a generalized method to reconstruct the
architecture of a computing platform at HW/SW boundary. In order to cover
diverge set of existing HW/SW technologies, our method uses an ontology-based
approach to handle these complexities. Due to the lack of a comprehensive
accurate ontology in the literature, we have developed our own ontology --
called PLATOnt -- which is shown to be more effective by ONTOQA evaluation
framework. We have used our AR method in two use case scenarios to reconstruct
the architecture of ARM-based Trusted execution environment and a Raspberry-pi
platform have extensive application in embedded systems and IoT devices.
