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Structuring the Knowledge for Software Process Appraisal towards Semi-Automated Support

机译:将软件过程评估的知识构建为半自动支持

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A process of software process appraisal intensively requires tacit knowledge and expertise from appraisal team to collect data, review documents, interview appraisal participants, analyze, verify and validate objective evidence. In an attempt to automate such a process, the knowledge inherent in it must be made explicit and machine-processable. This paper explains how to structure the knowledge for software process appraisal in such a way that we can apply inference engine based on the formal concept analysis (FCA). Thus, we can use the engine to determine the relations between process activities and standard practices to which they pertain from the knowledge. The structured knowledge and its automated inference will help reduce the efforts in examining information about the practices implemented and relate the resultant data to the appraisal reference model.
机译:软件过程评估的过程非常需要评估团队的默契知识和专业知识,以收集数据,审查文档,采访评估参与者,分析,验证和验证客观证据。为了使这样的过程自动化,必须使其中固有的知识明确且可机器处理。本文解释了如何构造软件过程评估知识,以便我们可以基于形式概念分析(FCA)应用推理引擎。因此,我们可以使用引擎从知识中确定过程活动和它们所所属的标准实践之间的关系。结构化知识及其自动推断将有助于减少检查有关已实施实践的信息的工作,并将结果数据与评估参考模型相关联。

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