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Using AI Techniques for Fault Localization in Component-Oriented Software Systems

  • Jörg Weber
  • Franz Wotawa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4293)

Abstract

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.

Keywords

Fault Localization Horn Clause Runtime Overhead Software Behavior Runtime Monitoring 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jörg Weber
    • 1
  • Franz Wotawa
    • 1
  1. 1.Institute for Software TechnologyTechnische Universität GrazAustria

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