Systems development needs to reconcile views from many roles, such as domain experts and engineers. A particular challenge is the multitude of models for requirements and quality, which can get time consuming and error prone to trace, change, and verify. In this paper we introduce an ontology-supported component-based systems engineering approach for the production automa-tion domain that explicitly describes stakeholder quality require-ments and traces design decisions to generate new system and software versions that implement these requirements. The ontol-ogy approach is expected to allow continuous modeling and ex-tracting model views for all roles involved to a) improve the qual-ity assurance of system requirements; b) support more explicit feedback on the quality of intermediate models during systems development; and c) provide better auditing capabilities of the systems development process. Based on an industry case study, we describe the ontology concept of the system, the development process, and how software quality can be measured and improved.