In this talk, we presented new approaches to query-based generation of software quality models and use case-specific creation of profiles for quality analyses with SonarQube, which were analyzed and evaluated through expert interviews. Additionally, we introduced a solution for automatically assigning software quality rules to entries in a hierarchical quality model. This approach leverages literature research to identify suitable machine learning models for hierarchical text classification, followed by experiments with training and test data. The findings were evaluated for practical applicability through expert interviews, and the results were presented.
Sprache der Kurzfassung:
Englisch
Vortragstyp:
Andere Vorträge und Präsentationen
Vortragsdatum:
29.07.2024
Vortragsort:
Deutschland
Details zum Vortragsort:
Siemens AG, Friedrich-Ludwig-Bauer-Straße 3, 85748 Garching bei München
Forschungs-