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An external web service may evolve without prior notification. In the course of the regression testing of a workflow-based web service, existing test case prioritization techniques may only verify the latest service composition using the not-yet-executed test cases, overlooking high-priority test cases that have already been applied to the service composition before the evolution. In this paper, we...
Spectrum-based fault localization techniques are semi-automated program debugging techniques that address the bottleneck of finding suspicious program locations for diagnosis. They assess the fault suspiciousness of individual program locations based on the code coverage data achieved by executing the program under debugging over a test suite. A program location can be viewed at different abstraction...
Context-aware applications capture environmental changes as contexts and self-adapt their behaviors dynamically. Existing testing research has not explored context evolutions or their patterns inherent to individual test cases when constructing test suites. We propose the notation of context diversity as a metric to measure how many changes in contextual values of individual test cases. In this paper,...
Cloud computing is an emerging computing paradigm. It aims to share data, calculations, and services transparently among users of a massive grid. Although the industry has started selling cloud-computing products, the software engineering infrastructure and application model are still unclear. In this paper, we compare cloud computing with service-oriented computing and pervasive computing. Both the...
Recent techniques for fault localization leverage code coverage to address the high cost problem of debugging. These techniques exploit the correlations between program failures and the coverage of program entities as the clue in locating faults. Experimental evidence shows that the effectiveness of these techniques can be affected adversely by coincidental correctness, which occurs when a fault is...
Cloud computing is an emerging computing paradigm. It aims to share data, calculations, and services transparently among users of a massive grid. Although the industry has started selling cloud-computing products, research challenges in various areas, such as UI design, task decomposition, task distribution, and task coordination, are still unclear. Therefore, we study the methods to reason and model...
Pervasive computing software adapts its behavior according to the changing contexts. Nevertheless, contexts are often noisy. Context inconsistency resolution provides a cleaner pervasive computing environment to context-aware applications. A faulty context-aware application may, however, mistakenly mix up inconsistent contexts and resolved ones, causing incorrect results. This paper studies how such...
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