A theory of diagnosis from first principles
Artificial Intelligence
Aspect: detecting bugs with abstract dependences
ACM Transactions on Software Engineering and Methodology (TOSEM)
Model-based diagnosis of hardware designs
Artificial Intelligence
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
Quantitative program dependence graphs
ICFEM'12 Proceedings of the 14th international conference on Formal Engineering Methods: formal methods and software engineering
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Debugging, i.e., removing faults from programs, comprises three parts. Fault detection is used to find a misbehavior. Within fault localization the root-cause for the detected misbehavior is searched for. And finally, during repair the responsible parts of the program are replaced by others in order to get rid of the detected misbehavior. In this paper we focus on fault localization which is based on abstract dependencies that are used by the Aspect system [1] for detecting faults. Abstract dependencies are relations between variables of a program. We say that a variable x depends on a variable y iff a new value for y may causes a new value for x. For example, the assignment statement x = y + 1; implies such a dependency relation. Every time we change the value of y the value of x is changed after executing the statement. Another example which leads to the same dependency is the following program fragment: if ( y