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首页> 外文会议>2016 International Conference on Informatics and Computing >Traceability between business process and software component using Probabilistic Latent Semantic Analysis
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Traceability between business process and software component using Probabilistic Latent Semantic Analysis

机译：使用概率潜在语义分析的业务流程和软件组件之间的可追溯性

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摘要

Business process and software component has relationship on business process execution in the organization or company. Changes in business process affecting the software component. A Method is needed to determine traceability of artifacts between process on business process and software component. The purpose of traceability is to trace the difference between business process of accompany and its software component through the artifacts. The artifacts in business process are identified by sequence of process, while the artifacts in software component are in the form of modules. In the proposed method, there are two main stage, namely modelling of process on business process and software component and document clustering using Probabilistic Latent Semantic Analysis (PLSA). In the modelling phase, process on business process and software component are grouped into documents. Then, the documents are processed by separating document into words. In the document clustering, documents are calculated using PLSA. It can be concluded that the document clustering can be done with recall 100% and precision 59%.
机译：业务流程和软件组件与组织或公司中的业务流程执行有关系。业务流程的变化会影响软件组件。需要一种方法来确定业务流程上的工件与软件组件之间的工件可追溯性。可跟踪性的目的是通过工件来跟踪伴随的业务流程及其软件组件之间的差异。业务流程中的工件通过流程顺序进行标识，而软件组件中的工件则采用模块的形式。在该方法中，主要有两个阶段，即业务流程和软件组件的流程建模以及使用概率潜在语义分析（PLSA）进行文档聚类。在建模阶段，业务流程和软件组件的流程被分组为文档。然后，通过将文档分成单词来处理文档。在文档聚类中，使用PLSA计算文档。可以得出结论，可以以100％的召回率和59％的查准率完成文档聚类。

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