{'fraction_non_alphanumeric': 0.013824884792626729, 'fraction_numerical': 0.0, 'mean_word_length': 5.6923076923076925, '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}}
Automata-based trustworthiness analysis method for business process

For enhancing the trustworthiness of business processes, a business process definition method is given and a kind of dynamic semantics is appointed to this business process definition. The dynamic semantics is expressed as a finite state automata. According to the dynamic semantics, algorithms are proposed to analyze the trustworthiness of the business processes.