Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
Model checking and abstraction
ACM Transactions on Programming Languages and Systems (TOPLAS)
Structure and chance: melding logic and probability for software debugging
Communications of the ACM
Aspect: detecting bugs with abstract dependences
ACM Transactions on Software Engineering and Methodology (TOSEM)
The Unified Modeling Language reference manual
The Unified Modeling Language reference manual
Model-based diagnosis of hardware designs
Artificial Intelligence
Algorithmic Program DeBugging
Computer
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
No faults in structure?: how to diagnose hidden interactions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Modeling Programs with Unstructured Control Flow for Debugging
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Model-Based Debugging -- State of the Art And Future Challenges
Electronic Notes in Theoretical Computer Science (ENTCS)
Using abstract dependences to localize faults from procedural programs
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Towards lightweight fault localization in procedural programs
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
| Hi-index | 0.00 |
The use of model-based diagnosis techniques for software debugging has been an active research area for several years. This paper describes the extension of model-based debugging by the utilization of object-oriented design information for the identification of structural faults. The typical structural software fault is the incorrect assignment, both a frequent and hard to identify problem if no extra information about the fault is present. We analyze the different types of faults, use heuristics about pre- and postconditions to infer missing or additional state variable assignments, and use statechart diagrams as additional constraints over the permissible method execution sequences.