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Fault localization is a challenging task in domain specific data mining. Most existing works focus on call graph that can find bugs which are associated with control flow. However, there are a lot of bugs related to data flow. In this paper, we presented a data dependency graph in fault localization. The approach at first analyzes the execution of the test suites dynamically, then derives the data...
Effective knowledge management of the testing process is the key to improve the quality of software testing. Knowledge management has different features in software testing. One of the most important research questions is how to effectively integrate the knowledge management with the software testing process so that the knowledge assets can be spread and reused in software testing organizations. In...
Fault localization techniques help programmers find out the locations and the causes of the faults and accelerate the debugging process. The relation between the fault and the failure is usually complicated, making it hard to deduce how a fault causes the failure. Analysis of variance is broadly used in many correlative researches. In this paper, a Bayesian belief network (BBN) for fault reasoning...
Distributed component requires test automation more than other components. Test language plays an important role in test automation. This paper proposes a new language, Jata, for testing distributed component in a systematic way by integrating the advantages of Junit and TTCN-3. To test a distributed component, multiple test clients are needed to emulate users to request services from the component...
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