=Paper=
{{Paper
|id=Vol-507/paper-3
|storemode=property
|title=Semantics Preservation Issues in the Design and Optimization of SW Architectures for Automotive Systems
|pdfUrl=https://ceur-ws.org/Vol-507/paper01.pdf
|volume=Vol-507
}}
==Semantics Preservation Issues in the Design and Optimization of SW Architectures for Automotive Systems==
<pdf width="1500px">https://ceur-ws.org/Vol-507/paper01.pdf</pdf>
<pre>
                                MoDELS'09 ACES-MB Workshop Proceedings




                                               Invited Talk

              Semantics Preservation Issues in the Design and
                  Optimization of SW Architectures for
                           Automotive Systems

                                                 Marco Di Natale

                                     Scuola Superiore Sant’Anna, Pisa, Italy



                     Abstract. Architecture selection and design optimization are critical
                     stages of the Electronics/Controls/ Software (ECS) -based vehicle design
                     flow. In automotive systems design, complex functions are deployed onto
                     the physical HW and implemented in a SW architecture consisting of a
                     set of tasks and messages.
                     The talk will present work performed in cooperation with GM R&D
                     and UC Berkeley, in which we optimized several aspects of the software
                     architecture design, including the definition of the task periods, the task
                     placement and the signal-to-message mapping and we automated the
                     assignment of priorities to tasks and messages in order to meet end-to-
                     end deadlines and minimize latencies.
                     Architecture selection can be accomplished by leveraging worst case re-
                     sponse time analysis within an optimization framework and we provide
                     hints on how to use stochastic or statistical analysis to further improve
                     the approach. However, current work has only scantly addressed the is-
                     sues of preserving the semantics of functional models during implemen-
                     tation. Semantics preservation issues impose additional constraints on
                     the optimization problem, but also reveal very interesting tradeoffs be-
                     tween memory and time/performance. In addition, the need to deal with
                     heterogeneous models and standards (like AUTOSAR in the automotive
                     business) further complicates the scenario.




Denver, CO, USA, October 6, 2009                                                                   9

</pre>