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Bug propagation and debugging in asymmetric software structures.

Damien Challet1, Andrea Lombardoni

  • 1Theoretical Physics, Oxford University, 1-3 Keble Road, Oxford OX1 3NP, United Kingdom.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 17, 2004
PubMed
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Software systems are fragile due to component failures. Identifying faulty components is challenging when failures propagate widely across the software dependence network.

Area of Science:

  • Computer Science
  • Software Engineering
  • Network Science

Background:

  • Software systems comprise interconnected components.
  • Component failures can impact system functionality.
  • Understanding failure propagation is crucial for system resilience.

Purpose of the Study:

  • To analyze the impact of single component failures in software dependence networks.
  • To investigate the challenges in locating faulty components based on failure propagation.

Main Methods:

  • Analysis of software dependence networks.
  • Modeling failure propagation patterns.
  • Evaluating the complexity of fault localization.

Main Results:

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  • Software dependence networks exhibit fragility due to their incoming link distribution.
  • Fault localization is straightforward when failures are localized to nearest neighbors.
  • Difficulty in fault localization increases as failures propagate further through the network.

    • Conclusions:

    • The structure of software dependence networks makes them vulnerable to single component failures.
    • The extent of failure propagation significantly influences the ease of identifying faulty components.
    • Strategies for enhancing software resilience should consider failure propagation dynamics.