{'fraction_non_alphanumeric': 0.022222222222222223, 'fraction_numerical': 0.0, 'mean_word_length': 5.17741935483871, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Scenario extraction for a refined timing-analysis of automotive network topologies

In the past few years, many research groups have presented methods which are very valuable for analytically evaluating the timing behavior of automotive electric/electronic (E/E) systems. From an industrial perspective (view of an OEM), the novelty of this topic leads to a situation where the necessary input data for timing analysis is partially not specified or not available in an appropriate manner. Therefore, this paper presents a methodology for a systematic extraction of periodic and sporadic events in order to refine the input data for subsequent timing analysis. Our experimental results obtained with a real-world E/E-system points out the impact of the contribution.