{'fraction_non_alphanumeric': 0.02034587995930824, 'fraction_numerical': 0.0, 'mean_word_length': 5.739726027397261, '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}}
Simulation-based approach to application fitness for an E-Bike

Apart from fulfilling component electrical specifications, electronics needs to fit into the target application, composed of electronics components as well as mechanical parts. In complex applications such investigations can be made by simulations in which relevant application performances are checked under any allowed variation of operating conditions, design parameters and noise factors. In this paper, we investigate verification methods for application fitness, on top of specification compliance. These are supported by a flow, which supports to assess a component's impact on the application performances. This flow is applied on an E-Bike application modelled in SystemC-AMS. The objective is to answer whether the assessed component reasonably serves the application in an environment with uncertainties. To accomplish this, concepts of experiment planning, metamodeling and sensitivity analysis are applied.