Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
63. A Method of Automatic Regression Test Scope Selection Using Features Digraph
verfasst von : Yifan Li, Jun Guo
Erschienen in: Emerging Technologies for Information Systems, Computing, and Management
Verlag: Springer New York
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
Regression Testing is an extremely efficient technique used to ensure the quality of changed program. For feature-based systems, the traditional approaches rely on engineer’s empirical practice. Therefore, the regression scope will vary from person to person. To improve those unstable methods, the authors presented an algorithm which could automatically select the retest features. The method was based on the building of weighted features digraph and the calculation of dependence values. Meanwhile, the authors proposed some “selection rules” as criteria for these retested features. Besides, a tool “FeaNetwork” had been built to evaluate the performance of our algorithm, and the result was better than empirical methods.