{'fraction_non_alphanumeric': 0.014760147601476014, 'fraction_numerical': 0.0, 'mean_word_length': 5.898305084745763, '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}}
A combined graph-based approach for systems design and verification

Software architecture's interoperability faces many problems when it comes to integrating different components or formalisms in describing the architecture. Even within the same modeling language such as UML, the diversity of notations and the lack of semantic information make the interoperability between models difficult. In this paper, we propose semantic foundations that unify the notations of classes, interactions and constraints, and hence provide a robust basis for models interoperability. We rely on graphs and graph transformations to describe systems structure and behavior, semantics and constraints in a combined form within an integrated framework, which constitutes a robust basis for automated software architecture analysis.