1 Introduction to Security and Quality Improvement in Complex Cyber-Physical Systems Engineering.- 2 Engineering in an International Context: Risks and Challenges.- 3 Managing complexity within the Engineering of Product and Production systems.- 4 Engineering of Signaling Systems.- 5 On the Need for Data-Based Model-Driven Engineering.- 6 On Testing Data-Intensive Software Systems.- 7 Product/ion-Aware Analysis of Collaborative Systems Engineering Processes.- 8 Engineering Data Logistics for Agile Automation Systems Engineering: Requirements and Solution Concepts with AutomationML.- 9 Efficient and Flexible Test Automation in Production Systems Engineering.- 10 Re-engineering Variants of MATLAB/Simulink Software Systems.- 11 Security Analysis and Improvement of Data Logistics in AutomationML based Engineering Networks.- 12 Securing Information against Manipulation in the Production Systems Engineering Process.- 13 Design and Run-time Aspects of Secure Cyber-Physical Systems.- 14 Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook.- 15 Radio Frequency (RF) Security in Industrial Engineering Processes.- 16 Secure and Safe IIoT Systems via Machine and Deep Learning Approaches.- 17 Revisiting Practical Byzantine Fault Tolerance Through Blockchain Technologies.- 18 Conclusions and Outlook on Security and Quality in Complex Cyber-Physical Systems Engineering.