关于行为约束的规范

F. Cristian
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引用次数: 0

摘要

在设计信息处理系统时,关键问题是找到应该使用什么符号和结构(在某些给定的语言中可用),以便能够回答用户想要问的问题,并执行用户必须执行的状态转换,以便与正在建模的某些现实保持同步。如果所使用的语言不能由计算机软件直接解释(如集合论、代数、语义网络),则产生的模型称为抽象模型(如规范、数据库模式)。如果用于表达模型的所有符号和结构都可以由计算机解释,则该模型是一个具体的实现(例如数据库系统)。抽象模型和具体模型都捕获了被建模的现实的某些方面。它们的不同之处在于表达它们的语言不同。选择适合编写这种模型的语言是一个激烈争论的主题。最近关于数据抽象、数据库和概念建模的讲习班表明,这种争论在不久的将来不太可能减少。然而,在这场辩论的上下文中,数据库参与者多次表达了一个共同的意见:用于指定数据库模式的数据模型缺乏支持针对特定应用程序环境量身定制的操作规范。因此,预计在数据库建模方面,业务(行为)与数据(结构)的结合将是今后几年最丰富的研究领域之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the specification of behavioural constraints
When designing information processing systems, the key problem is to find what symbols and constructs (available in some given language) should be used so as to be able to answer the questions that the users want to ask and to perform the state transitions that the users have to perform in order to keep in step with some reality that is being modelled. If the language that is being used cannot be interpreted directly by the software of a computer (e.g. set theory, algebra, semantic networks), the resulting model is called an abstract model (e.g. a specification, a data base schema). If all of the symbols and constructs used to express the model can be interpreted by a computer, the model is a concrete implementation (e.g. a data base system). Both the abstract and concrete models capture some aspects of the reality that is modelled. They differ with respect to the languages in which they are expressed. The choice of the languages which are appropriate for writing such models is a subject of intensive debate. The recent workshop on Data Abstraction, Data Bases and Conceptual Modelling has shown that this debate is not likely to diminish in the near future. In the context of this debate, however, a common opinion was expressed several times by data base participants: the data models used to specify data base schemas are lacking to support the specification of operations tailored to particular application environments. It is therefore expected that in the context of data base modelling, the integration of operations (behaviour) with data (structure) will be one of the most fertile research areas for the next few years.
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