Approximate retrieval of incomplete and formal specifications applied to vertical reuse

R. Redondo, J. Pazos-Arias, Ana Fernández Vilas, Ana Belén Barragáns-Martínez
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引用次数: 13

Abstract

This paper describes how ARIFS tool (Approximate Retrieval of Incomplete and Formal Specifications) provides a suitable reusing environment to classify, retrieve and adapt formal and incomplete requirements specifications. Both classification and retrieval tasks are based on functional similarities according to structural and semantic closeness. To this effect, we define four partial orderings among reusable components and different measures to quantify functional differences among them. By using these measures we are able to offer an approximate and efficient retrieval, without formal proofs, and to predict adaptation efforts to satisfy the required functional specification. This paper focus on semantic similarities as they are more remarkable in vertical reuse, that is, the reuse of software within same domain or application area.
应用于垂直重用的不完整和正式规范的近似检索
本文描述了ARIFS工具(不完整和正式规范的近似检索)如何提供一个合适的重用环境来分类、检索和适应正式和不完整的需求规范。分类和检索任务都是基于结构和语义上的功能相似性。为此,我们定义了可重用组件之间的四种偏序和不同的度量来量化它们之间的功能差异。通过使用这些度量,我们能够提供一个近似的和有效的检索,而不需要正式的证明,并预测适应工作以满足所需的功能规范。语义相似度在垂直重用(即同一领域或应用领域内的软件重用)中更为显著,因此本文主要研究语义相似度。
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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