Towards Semantic-Aware Collaborations in Systems Engineering

Abstract

The design of nowadays complex systems requires a collaboration between a diversity of stakeholders: from domain experts to customers. For a collaboration to be efficient, the relevant information have to reach the right stakeholder at the right time in a format that is understandable to him/her. We propose a formal framework to integrate the meaning projected by stakeholders onto their data (the denotation), so that it can be unambiguously used by others. An implementation of this framework, relying on the existing language xOWL (extension of OWL2 with behavioral constructs), is then provided to perform the semantic integration of the captured denotations in an MBSE approach.

ATLaS: A Framework for Traceability Links Recovery Combining Information Retrieval and Semi-Supervised Techniques

“…From a tooling perspective, requirements are managed in ProR 2 (open-source), system models (operational, functional, physical or product) have been captured in the Capella tool 3 .…”

“…Sharing and linking (manually) engineering artefacts are performed thanks to the use of collaborative spaces, based on semantic web technologies [3]. The Tracelink support (ATLaS) described in Section III generates candidate traceability links to the collaborative space for validation.…”

“…In such a context, it is important to provide a framework for improving awareness regarding the impact of decisions beyond technological or organizational silos [3]. Such a framework shall provide facilities to recover traceability links to avoid a snowball effect due to not shared hypotheses.…”