Winkler, DietmarBiffl, StefanFelderer, MichaelHasselbring, WilhelmRabiser, RickJung, Reiner2020-02-032020-02-032020978-3-88579-694-7https://dl.gi.de/handle/20.500.12116/31741The size and complexity of software components in production systems engineering, such as manufacturing plants or automation systems, requires effective and efficient approaches for security and quality improvement. In industrial practice, engineers from different disciplines, such as electrical, mechanical, and software disciplines typically follow a plan-driven and sequential engineering process approach with parallel engineering activities within a heterogeneous set of methods and tools. Therefore, major challenges concern (a) insufficient data exchange capabilities between disciplines, (b) a lack of consistency evaluation capabilities across disciplines, tools, and engineering phases, (c) insufficient knowledge representation and exchange between disciplines and project stakeholders and (d) limited security considerations. The goal of the Christian Doppler Laboratory on Security and Quality Improvement in the Production Systems Life Cycle (CDL-SQI) is to address these challenges in cooperation with industry partners in the production systems domain. We build on requirements and use case explorations at industry partners and on best-practices from Business Informatics to develop concepts and prototype solutions for the target domain and evaluate these concepts and prototypes in close collaboration with industry partners We derive requirements, use cases, and test data from industry and provide concepts and prototypes to the industry partner and to related scientific communities.enProduction Systems EngineeringSoftware and Systems EngineeringSecurityQualityEngineering Process ImprovementTestingVariability ManagementSoftware ModelsText/Conference Paper10.18420/SE2020_601617-5468