A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Aspect: detecting bugs with abstract dependences
ACM Transactions on Software Engineering and Methodology (TOSEM)
Model-based diagnosis of hardware designs
Artificial Intelligence
Debugging Hardware Designs Using a Value-Based Model
Applied Intelligence
Using Design Information to Identify Structural Software Faults
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Model-Based Diagnosis or Reasoning from First Principles
IEEE Intelligent Systems
Dependency-Directed Localization of Software Bugs
Dependency-Directed Localization of Software Bugs
Automated Source-Level Error Localization in Hardware Designs
IEEE Design & Test
Fault localization based on abstract dependencies
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
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In this paper we present a novel extension of a lightweight model for fault localization that allows for modeling procedural programs. The procedural programming paradigm is often used in (safety-critical) control software where a program’s verification and subsequent fault localization is of utmost importance. In this article we present results from our recent case study relying on this kind of programs. Notably, our lightweight model is always able to localize the misbehavior’s real cause.