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Modeling AUTOSAR Implementations in Simulink
https://www.academia.edu/118153217/Modeling_AUTOSAR_Implementations_in_Simulink

References

  1. AUTOSAR: Autosar development partnership. http://www.autosar.org (2018)
  2. Cremona, F., Morelli, M., Di Natale, M.: TRES: A Modular Representation of Schedulers, Tasks, and Messages to Control Simulations in Simulink. Proceedings of the 30th Annual ACM Symposium on Applied Computing (2015) 1940–1947
    1. Derler, P., Naderlinger, A., Pree, W., Resmerita, S., Templ, J.: Simulation of LET models in Simulink and Ptolemy. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 6028 LNCS., Springer, Berlin, Heidelberg (2010) 83–92
  3. Ferrari, A., Di Natale, M., Gentile, G., Reggiani, G., Gai, P.: Time and memory tradeoffs in the implementation of AUTOSAR components. In: 2009 Design, Automation & Test in Europe Conference & Exhibition, IEEE (apr 2009) 864–869
  4. Henriksson, D., Cervin, A., °Arz´en, K.E.: TrueTime : Real-time Control System Simulation with MATLAB / Simulink. Proceedings of the Nordic MATLAB Conference (2003)
  5. Henzinger, T.A., Horowitz, B., Kirsch, C.M.: Giotto: A time-triggered lan- guage for embedded programming. Emsoft 91(1) (2001) 166–184
  6. L., S., R., R., J., L.: Priority inheritance protocols: An approach to real-time synchronization. IEEE Transactions on Computers 30(9) (Septebmer 1990) 1175–1185
  7. Lehoczky, J., Sha, L., Ding, Y.: The rate monotonic scheduling algorithm: exact characterization and average case behavior. [1989] Proceedings. Real-Time Systems Symposium (1989) 0–5
  8. Liu, C.L.,W. Layland, J.: Scheduling Algorithms for Multiprogramming in a Hard- Real-Time Environment Scheduling Algorithms for Multiprogramming. Journal of the Association for Computing Machinery 20(1) (jan 1973) 46–61
  9. MathWorks.: Developing S-Functions, r2017b. http://www.mathworks.com (2017)
  10. MathWorks.: Simulink User’s Guide, r2017b. http://www.mathworks.com (2017)
  11. MathWorks.: Stateflow User’s Guide, r2017b. http://www.mathworks.com (2017)
  12. Naderlinger, A.: Simulating preemptive scheduling with timing-aware blocks in Simulink. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, IEEE (mar 2017) 758–763
  13. Naderlinger, A., Templ, J., Pree, W.: Simulating real-time software components based on logical execution time. In: Proceedings of the 2009 Summer Computer Simulation Conference. SCSC ’09, Vista, CA, Society for Modeling & Simulation International (2009) 148–155
  14. The AUTOSAR Consortium: Applying simulink to autosar, r3.1. (2006)
  15. The AUTOSAR Consortium: AUTOSAR Methodology, r4.3. (2018)
  16. The AUTOSAR Consortium: The AUTOSAR Standard, r4.3. (2018)
  17. Zeng, H., Di Natale, M.: Mechanisms for guaranteeing data consistency and flow preservation in AUTOSAR software on multi-core platforms. In: SIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings, IEEE (jun 2011) 140–149

Related note

Strategy to some summary and propose to AUTOSAR, SDV and Software Factory.
https://qiita.com/kaizen_nagoya/items/d36a9eba629022276918

AUTOSAR paper on arXiv
https://qiita.com/kaizen_nagoya/items/7c2355275ec53dbdc7a2

AUTOSAR on arXiv reference paper summary
https://qiita.com/kaizen_nagoya/items/aa639a268aaa56c5a501

Yet another strategy for papers on Software Engineering.
https://qiita.com/kaizen_nagoya/items/d186dfcb4d4f7cd1dcf1

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