Abstract In this paper we present a new model of Java programs. We show how a program can be compiled into the model. The model can be directly used by a model-based diagnosis engine in order to determine the set of possible causes for a detected misbehavior. The new model is based on the concept of dependencies between variables of a program but leads to improvements with respect to the quality of diagnosis results. First experimental results show the improvements of the presented approach.
Abstract. The knowledge of real software faults representativeness is important to allow the emulati...
Context: Existing fault-localization techniques combine various program features and similarity coef...
Abstract—Debugging techniques assist a developer in localizing and correcting faults in a system’s d...
A key advantage of model-based diagnosis is the ability to use a generic model for the production o...
During the last decade formal verification has be-come very important not only in academia but also ...
Abstract. A common method to localize defects is to compare the coverage of passing and failing prog...
Model-based diagnosis is a successful AI technique for diagnosing physical systems but faces new ch...
Fault localization is usually the most time-consuming step when debugging software bugs in general a...
Abstract—Existing fault localization techniques combine various program features and similarity coef...
Automatic techniques for helping developers in finding the root causes of software failures are extr...
This paper introduces a new model for debugging of Java programs. This model is based on previous fu...
This paper proposes a technique for identifying program properties that indicate errors. The techniq...
This paper presents a novel methodology for localizing faults in code as it evolves. Our insight is ...
Finding and fixing bugs are time-consuming activities in software development. Spectrum-based fault ...
Finding and fixing bugs are time-consuming activities in software development. Spectrum-based fault ...
Abstract. The knowledge of real software faults representativeness is important to allow the emulati...
Context: Existing fault-localization techniques combine various program features and similarity coef...
Abstract—Debugging techniques assist a developer in localizing and correcting faults in a system’s d...
A key advantage of model-based diagnosis is the ability to use a generic model for the production o...
During the last decade formal verification has be-come very important not only in academia but also ...
Abstract. A common method to localize defects is to compare the coverage of passing and failing prog...
Model-based diagnosis is a successful AI technique for diagnosing physical systems but faces new ch...
Fault localization is usually the most time-consuming step when debugging software bugs in general a...
Abstract—Existing fault localization techniques combine various program features and similarity coef...
Automatic techniques for helping developers in finding the root causes of software failures are extr...
This paper introduces a new model for debugging of Java programs. This model is based on previous fu...
This paper proposes a technique for identifying program properties that indicate errors. The techniq...
This paper presents a novel methodology for localizing faults in code as it evolves. Our insight is ...
Finding and fixing bugs are time-consuming activities in software development. Spectrum-based fault ...
Finding and fixing bugs are time-consuming activities in software development. Spectrum-based fault ...
Abstract. The knowledge of real software faults representativeness is important to allow the emulati...
Context: Existing fault-localization techniques combine various program features and similarity coef...
Abstract—Debugging techniques assist a developer in localizing and correcting faults in a system’s d...