{'fraction_non_alphanumeric': 0.021912350597609563, 'fraction_numerical': 0.0, 'mean_word_length': 6.444444444444445, '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}}
Employing Semantically Driven Adaptation for Amalgamating Software Quality Assurance with Process Management

Often in software development processes, tighter and more systematic integration of quality assurance techniques and measurements in the operational processes is desirable. While some processes specify abstract quality assurance measures, concrete requisite measures directly relevant for specific product artifacts (e.g., code) or processes (e.g., testing) must be determined operationally and contemporaneously, yet are hitherto often determined manually and unsystematically. By employing semantically driven adaptation of software quality assurance congruent with software development processes, an approach is described and applied in the software engineering domain for the detection, mediation, and management of just-in-time quality measure assignments. The approach shows promise for adapting automated process enactment to enable effective and efficient quality assurance integration.