Ensuring appropriate dependability of modern industrial systems is becoming more and more challenging due to the raising complexity of modern embedded systems and the introduction of connectivity, possibly leading to ad-hoc creation of systems’ configuration.  State-of-the-art dependability analysis techniques, applied during design phase, provide limitation in terms of scalability with respect to the system size and in terms of runtime flexibility and ad-hoc reorganization. The DEIS project addresses these important and unsolved challenges by developing technologies that form a science of dependable system integration. Main contributions of this paper are (a) the introduction of the DDI concept and DEIS outcomes available for the community, (b) the illustration of DDI usage to increase functional safety development efficiency for railways systems, (c) the usage of DDI for data privacy management in context from Intelligent physiological parameter monitoring for road transportation, and (d) the introduction of DDI for trusted runtime collaborative platooning for road transportation.