Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
Combining Model Learning and Data Analysis to Generate Models of Component-Based Systems
verfasst von : Sébastien Salva, Elliott Blot, Patrice Laurencot
Erschienen in: Testing Software and Systems
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
Finding bugs in systems without model is well-known to be challenging and costly. But, most of today’s developers think that writing models is also a hard and error-prone task. In this context, this paper addresses the problem of learning a model, from a component-based system, which captures and separates the behaviours of components and encodes their synchronisations. We present a passive model learning method called COnfECt to infer such models from execution traces in which no information is provided to identify components. We describe the two main steps of COnfECt in this paper and show some preliminary experimentations on real systems.