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Consistency-based diagnosis of configuration knowledge bases

机译:基于一致性的配置知识库诊断

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摘要

Configuration problems are a thriving application area for declarative knowledge representation that currently experiences a constant increase in size and complexity of knowledge bases. AWutomated support of the debugging process of such knowledge bases is a necessary prerequisite for effective development of configurators. We show that this taks can be achieved by consistency-based diagnosis techniques. Based on the formal definition of consistency-based configuration we develop a framework suitable for diagnosing configuration knowledge bases. During the test phase of configurators, valid and invalid examples are used to test the correctness of the system. In case such examples leas to unitended results, debugging of the knooledge base in initiated. Starting from a clear definition of diagnosis in the configuration domain we develop an algorithm based on conflicts. Our framework is general enough for its adaptation to diagnosing customer requirements to identify unachievable conditions during configuration sessions. A prototype implementation using commercial constraint-based configurator libraries shows the feasibility of diagnosis within the tight time bounds of interactive debugging sessions. Finally, we discuss the usefulness of the outcomes of the diagnositc proces in different scenarios.
机译:配置问题是声明性知识表示的蓬勃发展的应用领域,当前知识库的大小和复杂性不断增加。对此类知识库的调试过程提供虚拟化支持是有效开发配置程序的必要先决条件。我们表明,可以通过基于一致性的诊断技术来实现此任务。基于基于一致性的配置的正式定义,我们开发了一个适用于诊断配置知识库的框架。在配置程序的测试阶段,将使用有效和无效的示例来测试系统的正确性。如果此类示例无法获得统一的结果,则启动对知识库的调试。从配置域中明确的诊断定义开始,我们开发了基于冲突的算法。我们的框架足够通用,可适应诊断客户需求以在配置会话期间确定无法实现的条件。使用基于商业约束的配置器库的原型实现显示了在交互式调试会话的紧迫时间范围内进行诊断的可行性。最后,我们讨论了在不同情况下诊断过程结果的有用性。

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