Online Fault Localization and Health Monitoring for Software Systems

  • Éric PielEmail author
  • Alberto Gonzalez-Sanchez
  • Hans-Gerhard Gross
  • Arjan J. C. van Gemund


Software systems used in the industry are often large and complex. Even with an extensive validation phase, it is impossible to ensure that a software system is fault-free and will remain so all along its evolution. When a failure happens in operation, the time to solve the fault should be minimized. The major challenge in this realm is the localization of a fault in one of the constituent components of the overall system. We strive at simplifying both the detection of failures and the localization of the fault that led to this failure by adapting existing techniques to the online context. This chapter first presents the Spectrum-based Fault Localization (SFL) method. It then explores the specificities of SFL for online fault localization and health monitoring. Its applicability to actual systems is evaluated through simulation of online failure scenarios, and through implementation in a demonstration surveillance system. The results of the studies performed confirm that applying SFL online, using monitoring, can successfully provide health information and locate problematic components, so that a software failure can be addressed adequately and timely.


Similarity Coefficient Fault Localization Software Fault Current Spectrum Performance Overhead 
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.



This research has been carried out as a part of the Poseidon project at Thales under the responsibilities of the Embedded Systems Institute (ESI). This project is partially supported by the Dutch Ministry of Economic Affairs under the BSIK program.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Éric Piel
    • 1
    Email author
  • Alberto Gonzalez-Sanchez
    • 1
  • Hans-Gerhard Gross
    • 1
  • Arjan J. C. van Gemund
    • 1
  1. 1.Department of Software TechnologyDelft University of TechnologyDelftThe Netherlands

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