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Integrating response-time analysis for heterogeneous networks with Rubus Analysis Framework: Challenges and preliminary solutions.

, , , , and . ETFA, page 1-4. IEEE, (2015)

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End-to-End Timing Analysis of Black-Box Models in Legacy Vehicular Distributed Embedded Systems., , , , , and . RTCSA, page 149-158. IEEE Computer Society, (2015)Modeling of End-to-End Resource Reservations in Component-Based Vehicular Embedded Systems., , , , , and . SEAA, page 283-292. IEEE Computer Society, (2016)Timing verification of component-based vehicle software with rubus-ICE: end-user's experience., , , , and . SQUADE@ICSE, page 37-38. ACM, (2018)Framework for real-time analysis in Rubus-ICE., , , , , , and . ETFA, page 782-788. IEEE, (2008)The Rubus component model for resource constrained real-time systems., , , , , and . SIES, page 177-183. IEEE, (2008)From Modeling to Deployment of Component-Based Vehicular Distributed Real-Time Systems., , , , , and . ITNG, page 649-654. IEEE Computer Society, (2014)Efficient Event-Triggered Tasks in an RTOS., , , , and . ESA, page 31-37. CSREA Press, (2005)Provisioning of Predictable Embedded Software in the Vehicle Industry: The Rubus Approach., , , , and . SER&IP@ICSE, page 3-9. IEEE, (2017)Supporting timing analysis of vehicular embedded systems through the refinement of timing constraints., , , , and . Softw. Syst. Model., 18 (1): 39-69 (2019)Provisioning of Highly Reliable Real-Time Systems., and . History of Nordic Computing, volume 350 of IFIP Advances in Information and Communication Technology, page 323-330. Springer, (2010)