基于马尔可夫链的用例图重要性分析
The Importance Analysis of Use Case Map with Markov Chains
摘要：
UCMs（用例图）模型描述了功能需求和高级设计，因果路径叠加在组件结构上。它可以为软件验收测试提供有用的资源。然而，到目前为止，UCM模型中还没有考虑大型软件的统计测试技术。因此，如果将UCM模型应用于大型软件，使用传统的基于覆盖的穷举品尝，那么它需要太多的质量保证成本。因此，本文提出了一个重要性分析的UCMs模型与马尔可夫链。通过这种方法，不仅可以从UCM规范中识别高度频繁使用的使用场景，而且还可以识别重要的对象，例如组件，职责，存根和插件。因此，在整个软件生存周期中，方案和对象的重要性使仔细的分析、设计、实施和有效的测试成为可能。因此，可以以低成本获得产品可靠性。本文包括一个重要性分析方法，确定重要的场景和对象和案例研究，以说明所提出的方法的适用性。
英文摘要：
UCMs (Use Case Maps) model describes functional requirements and high-level designs with causal paths superimposed on a structure of components. It could provide useful resources for software acceptance testing. However until now statistical testing technologies for large scale software is not considered yet in UCMs model. Thus if one applies UCMs model to a large scale software using traditional coverage based exhaustive tasting, then it requires too much costs for the quality assurance. Therefore this paper proposes an importance analysis of UCMs model with Markov chains. With this approach not only highly frequently used usage scenarios but also important objects such as components, responsibilities, stubs and plugins can also be identified from UCMs specifications. Therefore careful analysis, design, implementation and efficient testing could be possible with the importance of scenarios and objects during the full software life cycle. Consequently product reliability can be obtained with low costs. This paper includes an importance analysis method that identifies important scenarios and objects and a case study to illustrate the applicability of the proposed approach.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
