Muts, KaterynaKaterynaMutsLuppold, ArnoArnoLuppoldFalk, HeikoHeikoFalk2019-04-302019-04-302019-05Proceedings of the 22nd International Workshop on Software and Compilers for Embedded Systems (SCOPES ’19), May 27–28, 2019, Sankt Goar, Germany. ACM, New York, NY, ISBN 978-1-4503-6762-2http://hdl.handle.net/11420/2549Real-Time Systems often come with additional requirements apart from being functionally correct and adhering to their timing constraints. Another common additional optimization goal is to meet code size requirements. Code compression techniques might be utilized to meet code size constraints in embedded systems. We show how to extend a compiler targeting hard real-time systems by an asymmetric compiler-based code compression/decompression, where the compression is performed at the compilation time and the decompression takes place at the execution time. Moreover, experimental results show the impact of the decompression algorithm on the estimated Worst-Case Execution Time that is one of the key properties of hard real-time systems.enhttp://rightsstatements.org/vocab/InC/1.0/compilercompressionrun-time decompressionreal-time systemsinteger-linear programmingTechnikIngenieurwissenschaftenWorking Paperurn:nbn:de:gbv:830-882.03337410.15480/882.223010.1145/3323439.332397610.15480/882.2230Other