Formalising a derivation strategy for formal specifications from natural language requirements models

M. V. Mauco, M. Leonardi
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引用次数: 16

Abstract

Natural language requirements models are useful during the first stages of software development. Formal methods help to increase software quality and reliability. In order to take advantage of both of them, we propose a requirements definition strategy which integrates them. We present in this paper the formalisation of a semiautomatic strategy to derive the types of a first initial specification in the RAISE specification language (RSL) from the Language Extended Lexicon (LEL), a natural language oriented model, which models the vocabulary of a domain. The strategy consists of a set of RSL-based derivation rules which provide a systematic and consistent way of transforming the information contained in the LEL into abstract and concrete RSL types
从自然语言需求模型形式化规范的派生策略
自然语言需求模型在软件开发的第一阶段非常有用。形式化方法有助于提高软件质量和可靠性。为了充分利用两者的优势,我们提出了一种集成两者的需求定义策略。本文提出了一种半自动策略,从语言扩展词典(LEL)中派生出RAISE规范语言(RSL)中第一个初始规范的类型,LEL是一种面向自然语言的模型,它对一个领域的词汇表进行建模。该策略由一组基于RSL的派生规则组成,这些规则提供了一种系统和一致的方式,将LEL中包含的信息转换为抽象和具体的RSL类型
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