Advances in Artefact Quality Analysis for SafetyCritical Systems Safetycritical systems are subject to rigorous verification and validation activities to guarantee that their quality is sufficient and acceptable. Quality analysis does not only need to be performed on the systems themselves, but also on their associated artefacts, e.g. system specifications. Such an analysis is essential for early quality assessment and so that system development progresses in compliance with standards. However, the analysis is challenging and labourintensive for large complex systems, thus practitioners need means that facilitate it. This paper presents recent advances in artefact quality analysis for safetycritical systems. The presented industrial tools and practices are part of the products and services provided by The REUSE Company, have been developed in collaborative research projects, and are already available to its customers. We introduce the management and use of requirements metrics, model metrics, checklists, quality evolution, and connectors. This information demonstrates (1) how artefact quality analysis is progressing in practice and (2) what artefact quality analysis needs are being fulfilled.

Quality Risks in the Data Exchange Process for Collaborative CPPS Engineering The realization of a cyberphysical production system (CPPS) requires suitable methods and tools for the exchange and integration of engineering data between collaborating disciplines. Unfortunately, the description languages used in a CPPS Engineering (CPPSE) organization to describe disciplinespecific views are not necessarily well suited for highquality data exchange between workgroups. In this paper, we identify technical debt and risks regarding CPPSE description languages for data exchange using the VDI 3695 guideline as best practice. We report on effects and likely causes of the quality risks identified in a case study at a large CPPSE company. Based on data from workshops and semistructured interviews with 28 domain experts from 12 workgroups, we propose a preliminary model relating causes and effects as foundation for analyzing and managing risks in the CPPSE data exchange process.