知识导向的规范分析方法

B. Singh, Arunprasath Shankar, Y. Shiyanovskii, F. Wolff, C. Papachristou, D. Weyer, Steve Clay, Jim Morrison
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引用次数: 3

摘要

全球市场上可用的软ip供应商和设计的数量正在以惊人的速度增长。目前使用其规范评估软ip的实践是一个耗时的手动过程。规范文档主要用英语编写,作为内部产品开发团队和客户的通用语言。设计人员倾向于使用文本和符号(包括图表、图表和表格)以非正式的自然语言编写规范。规范文档缺乏形式化是其分析中的一个限制因素。目前的硬件设计缺乏任何规格分析技术。在本文中,我们提出了一种知识导向的规范分析方法,可以自动分析规范文档。我们的方法避免了正式的规范。相反,我们依赖于基于领域的本体来捕获设计行为。我们通过分析来自几个第三方IP供应商的浮点规范来测试我们的方法。我们定义规范覆盖和需求覆盖度量来量化我们的结果。
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Knowledge-Guided Methodology for Specification Analysis
The number of Soft-IP vendors and designsbecoming available on the global market is growing at a phenomenal rate. The current practice of evaluating Soft IPs using their specification is a time consuming manual process. A specification document is primarily written in English, which serves as a common language for internal product development teams as well as customers. Designers have a preference for writing specifications in an informal natural language using text and notations, including diagrams, charts and tables. The lack of formality of specification documents is a limiting factor in their analysis. The current state-of-the-art in hardware design lacks any specification analysis technique. In this paper, we present a knowledge-guided methodology for specification analysis that can automatically analyze specification documents. Our approach avoids formal specification. Instead we rely on domain-based ontologies to capture design behavior. We tested our approach by analyzing floating point specification from several third party IP vendors. We define spec coverage and requirement coverage metrics to quantify our results.
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