面向语义的程序综合系统

Bai Cheng, S. Kaplan
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引用次数: 2

摘要

概述了SEED,一个使用程序开发方法将规范转换为代码的自动程序开发系统。它表明,自顶向下的、逐步的程序开发技术,最初是为人类使用的,是适合自动化的。当使用Dijkstra/Gries方法时,用户根据一组启发式方法将问题的基于谓词逻辑的规范细化为代码。SEED项目的一个主要部分涉及澄清它们的启发式,用于人类应用,以促进可执行的基于规则的系统的开发。N. Dershowitz的事实引入方案(Artif。智能。(vol.25, 323-73, 1985)用于允许用户通过添加在规则应用过程中咨询的事实库来定制SEED到特定的问题领域。SEED接受规范作为输入,如果不能开发程序,则返回程序或错误消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A semantically oriented program synthesis system
An overview is given of SEED, an automatic program development system that transforms specifications into code using program development methodologies. It is shown that top-down, stepwise program development techniques, originally intended for use by humans, are amenable to automation. When using the Dijkstra/Gries methodology, users refine the predicate logic-based specification of a problem, according to set of heuristics, into code. A major portion of the SEED project involved clarifying their heuristics, intended for human application, to facilitate the development of an executable rule based system. N. Dershowitz's fact introduction scheme (Artif. Intell., vol.25, 323-73, 1985) was used to allow the user to tailor SEED to a particular problem domain by adding to a fact base that is consulted during the rule application process. SEED accepts a specification as input and returns either a program or an error message if a program cannot be developed.<>
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