基于本体的自动化需求分析工具

Tuong Huan Nguyen, J. Grundy, Mohamed Almorsy
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引用次数: 18

摘要

结合面向目标和用例建模已经被证明是需求引出和细化的有效方法。然而,当前的需求工程方法通常缺乏对这种建模工件的自动化分析的可靠支持。为了解决这个问题,我们开发了GUITAR,这个工具可以自动检测工件之间的不正确、不完整和不一致。GUITAR基于我们的目标-用例集成元模型以及领域知识和语义的本体。GUITAR还为检测到的问题提供全面的解释,并可以建议解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GUITAR: An ontology-based automated requirements analysis tool
Combining goal-oriented and use case modeling has been proven to be an effective method in requirements elicitation and elaboration. However, current requirements engineering approaches generally lack reliable support for automated analysis of such modeled artifacts. To address this problem, we have developed GUITAR, a tool which delivers automated detection of incorrectness, incompleteness and inconsistency between artifacts. GUITAR is based on our goal-use case integration meta-model and ontologies of domain knowledge and semantics. GUITAR also provides comprehensive explanations for detected problems and can suggest resolution alternatives.
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