Autonomous vehicles in embedded real-time systems increase critical-software size and complexity whose performance needs are covered with high-performance hardware features like caches, which however hampers obtaining WCET estimates that hold valid for all program execution paths. This requires assessing that all cache layouts have been properly factored in the WCET process. For measurement-based timing analysis, the most common analysis method, we provide a solution to achieve cache representativeness and full path coverage: we create a modified program for analysis purposes where cache impact is upper-bounded across any path, and derive the minimum number of runs required to capture in the test campaign cache layouts resulting in high execution times.

This work has been partially funded by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence. The Ministry of Economy and Competitiveness partially supported Suzana Milutinovic under FPI grant (BES-2016-077561), Jaume Abella under Ramon y Cajal postdoctoral fellowship (RYC-2013-14717) and Enrico Mezzettii under Juan de la Cierva-Incorporación postdoctoral fellowship (IJCI-2016-27396).

Peer Reviewed