Detecting operations that potentially violate well-formedness constraints for metadata repository systems

Xiaofei Zhao, Zhongzhi Shi
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Abstract

The organization of the metadata in repository systems exhibits a complex structure which is layered, multi-level and dynamically adaptable; the validating of well-formedness constraints is insufficiently specified in existing repository system standard, the above two reasons make it becomes a major challenge how to validate well-formedness constraints for MOF-based metadata repository systems. In this paper we propose a method to automatically detect the operations that may potentially violate a well-formedness constraint in the meta-level. Our approach can detect potentially violating operations by determining the construction actions that may violate the constraint and checking whether those actions appear in the operation specification. Our approach helps to improve efficiency of well-formedness constraint checking since its results can be used to discard many irrelevant tests.
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检测可能违反元数据存储库系统格式良好性约束的操作
存储库系统中元数据的组织呈现出分层、多级、动态适应的复杂结构;由于现有的存储库系统标准对格式良好性约束的验证规定不够,因此如何对基于mof的元数据存储库系统进行格式良好性约束的验证成为一个主要的挑战。在本文中,我们提出了一种在元级别自动检测可能违反格式良好性约束的操作的方法。我们的方法可以通过确定可能违反约束的构造操作并检查这些操作是否出现在操作规范中来检测潜在的违规操作。我们的方法有助于提高格式良好性约束检查的效率,因为它的结果可以用来丢弃许多不相关的测试。
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