Automatic Reverse Engineering of Interaction Models from System Logs
作者： Sabine Wolny , Alexandra Mazak , Manuel Wimmer
DOI: 10.1109/ETFA.2019.8869502
关键词: Computer science 、 Representation (mathematics) 、 Data mining 、 Sequence diagram 、 Systems Modeling Language 、 Unified Modeling Language 、 Process (computing) 、 Reverse engineering 、 Enterprise architecture
摘要: Nowadays, software-as well as hardware systems produce log files that enable a continuous monitoring of the system during its execution. Unfortunately, such text-based traces are very long and difficult to read, therefore, reasoning analyzing runtime behavior is not straightforward. However, dealing with especially needed in cases, where (i) execution did perform intended, (ii) process flow unknown because there no records, and/or (iii) design models do correspond real-world counterpart. These facts cause data has be prepared more user-friendly way (e.g., form graphical representations) algorithms for automatically system’s operation, tracking components interaction patterns. For this purpose we present an approach transforming raw sensor logs UML or SysML sequence diagram order provide representation time-ordered manner. Based on diagram, identify analyze components. We implement prototypical plug-in modeling tool Enterprise Architect evaluate it by example self-driving car.
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