TY - CHAP A1 - Sailer, Andreas A1 - Deubzer, Michael A1 - Lüttgen, Gerald A1 - Mottok, Jürgen T1 - CoreTAna: A Trace Analyzer for Reverse Engineering Real-Time Software T2 - IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER), March 14 to March 18 2016, Suita, Osaka, Japan N2 - With the availability of the AUTOSAR standard, model-driven methodologies are becoming established in theautomotive domain. However, the process of creating models ofexisting system components is often difficult and time consuming, especially when legacy code has to be re-used or informationabout the exact timing behavior is needed. In order to tackle thisreverse engineering problem, we present CoreTAna, a novel toolthat derives an AUTOSAR compliant model of a real-time systemfrom a dynamic analysis of its trace recordings. This paper givesan overview of CoreTAna's current features and discusses itsbenefits for reverse engineering. KW - AUTOSAR KW - tracing KW - profiling KW - timing model KW - reverse engineering Y1 - 2016 U6 - https://doi.org/10.1109/SANER.2016.36 ER - TY - CHAP A1 - Sailer, Andreas A1 - Deubzer, Michael A1 - Lüttgen, Gerald A1 - Mottok, Jürgen T1 - Comparing Trace Recordings of Automotive Realtime Software T2 - RTNS '17: Proceedings of the 25th International Conference on Real-Time Networks and Systems, Grenoble, France, IEEE N2 - The process of engineering models of existing real-time system components is often difficult and time consuming, especially when legacy code has to be re-used or information about the exact timing behaviour is needed. In order to tackle this reverse engineering problem, we have developed the tool CoreTAna. CoreTAna derives an AUTOSAR compliant model of a real-time system by conducting dynamic analysis using trace recordings. Motivated by the challenge of assessing the quality of reverse engineered models of real-time software, we present a novel mathematical measure for comparing trace recordings from embedded real-time systems regarding their temporal behaviour. We also introduce a benchmark framework based on this measure, for evaluating reverse engineering tools such as CoreTAna. This considers common system architectures and also includes randomly generated systems and three systems of industrial automotive projects. Finally, an industrial case study demonstrates other use cases of our measure, such as impact analysis. Y1 - 2017 U6 - https://doi.org/10.1145/3139258.3139265 SP - 118 EP - 127 ER -