基于三层知识模型的软件缺陷管理系统 |
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引用本文: | 柴海燕,丁霞,王凯风,谢立鹏. 基于三层知识模型的软件缺陷管理系统[J]. 计算机测量与控制, 2020, 28(1): 127-129 |
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作者姓名: | 柴海燕 丁霞 王凯风 谢立鹏 |
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作者单位: | 京东方科技集团股份有限公司,北京,100176 |
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摘 要: | 目前的缺陷分析还是基于数据层面分析与预测,对软件测试工作的价值贡献受到局限。本文设计了一种基于三层知识模型的软件缺陷管理系统。通过把知识库的结构引入到软件缺陷管理中,把缺陷分析从数据管理层面提升为知识管理层面。通过事实知识层、中间层、策略层三层知识库结构对软件开发测试过程中产品产生的技术数据、管理过程数据进行采集沉淀,提取软件缺陷预测规则,并生成能指导软件测试工作的策略报告。有助于从根本上提升软件测试工作水平和效率。
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关 键 词: | 知识库 数据挖掘 缺陷管理 软件测试 |
收稿时间: | 2019-04-24 |
修稿时间: | 2019-06-21 |
A Software Defect Management System Based on Three-layer Knowledge Model |
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Abstract: | Current defect analysis is based on data level analysis and prediction, and the value contribution to software testing work is limited. This paper designs a software defect management system based on three-layer knowledge model. By introducing the structure of the knowledge base into software defect management, the defect analysis is upgraded from the data management level to the knowledge management level. Through the three-layer knowledge base structure of fact knowledge layer, middle layer and strategy layer, the technical data and management process data generated by the software during the software development test process are collected and precipitated, the software defect prediction rules are extracted, and a strategy report capable of guiding the software test work is generated.It helps to fundamentally improve the level and efficiency of software testing. |
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Keywords: | data mining defect management software testing |
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