2006 | OriginalPaper | Chapter
Using AI Techniques for Fault Localization in Component-Oriented Software Systems
Authors : Jörg Weber, Franz Wotawa
Published in: MICAI 2006: Advances in Artificial Intelligence
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In this paper we introduce a technique for runtime fault detection and localization in component-oriented software systems. Our approach allows for the definition of arbitrary properties at the component level. By monitoring the software system at runtime we can detect violations of these properties and, most notably, also locate possible causes for specific property violation(s). Relying on the model-based diagnosis paradigm, our fault localization technique is able to deal with intermittent fault symptoms and it allows for measurement selection. Finally, we discuss results obtained from our most recent case studies.