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A pattern-matching approach for automated scenario-driven testing of structured computational policy

机译:一种模式匹配方法,用于自动化方案驱动的结构化计算策略测试

摘要

Organizations are policy-driven entities. Policy bases can be very large and complex; these factors are in the dynamic nature of policy evolution. The mechanical aspects of policy modification and assurance of the consistency, completeness, and correctness of a policy base can be automated to some degree. Such support is known as computer support for policy. We developed an object-oriented schema-based approach to structure policy. Our structural model consists of Unified Modeling Language class and collaboration diagrams. The structural model is used by a suite of testing tools. We present a case study to illustrate our approach to automated testing of policy. Our approach to test-case generation is based on the use of pattersn within policy statements and relationships between policy objects. The test spectrum has query-specific tests at one end, and the generic types of tests at the other end. We introduce the use of statistical inference to reuse test cases by determining the patterns that approximate the query-to-be-executed. Query mapping, anytime reasoning and fuzzy logic concepts in policies and their applications are discussed.
机译:组织是政策驱动的实体。政策基础可能非常庞大和复杂;这些因素是政策演变的动态性质。策略修改的机械方面以及策略库的一致性,完整性和正确性的保证可以在某种程度上实现自动化。这种支持称为对策略的计算机支持。我们开发了一种基于对象的基于架构的策略来构造策略。我们的结构模型由统一建模语言类和协作图组成。结构模型由一套测试工具使用。我们提供一个案例研究,以说明我们对策略进行自动测试的方法。我们用于生成测试用例的方法是基于在策略声明中使用模式以及策略对象之间的关系。测试范围的一端具有查询特定的测试,而另一端则具有通用的测试类型。我们通过确定近似要执行的查询的模式来介绍使用统计推断来重用测试用例。讨论了策略中的查询映射,随时推理和模糊逻辑概念及其应用。

著录项

  • 作者

    Sezgin Mehmet.;

  • 作者单位
  • 年度 2001
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  • 原文格式 PDF
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