Foundations for an expert system in domain-specific traceability

Jin Guo, J. Cleland-Huang, B. Berenbach
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引用次数: 25

Abstract

Attempts to utilize information retrieval techniques to fully automate the creation of traceability links have been hindered by terminology mismatches between source and target artifacts. Therefore, current trace retrieval algorithms tend to produce imprecise and incomplete results. In this paper we address this mismatch by proposing an expert system which integrates a knowledge base of domain concepts and their relationships, a set of logic rules for defining relationships between artifacts based on these rules, and a process for mapping artifacts into a structure against which the rules can be applied. This paper lays down the core foundations needed to integrate an expert system into the automated tracing process. We construct a knowledge base and inference rules for part of a large industrial project in the transportation domain and empirically show that our approach significantly improves precision and recall of the generated trace links.
特定领域可追溯性专家系统的基础
试图利用信息检索技术来完全自动化可跟踪性链接的创建,由于源工件和目标工件之间的术语不匹配而受到阻碍。因此,目前的轨迹检索算法往往产生不精确和不完整的结果。在本文中,我们通过提出一个专家系统来解决这种不匹配,该系统集成了一个领域概念及其关系的知识库,一组用于定义基于这些规则的工件之间关系的逻辑规则,以及一个将工件映射到可以应用规则的结构的过程。本文奠定了将专家系统集成到自动跟踪过程中所需的核心基础。我们为运输领域的一个大型工业项目的一部分构建了知识库和推理规则,经验表明我们的方法显著提高了生成的轨迹链接的精度和召回率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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