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Algorithmic Concept Recognition to Support High Performance Code Reengineering

机译:支持高性能代码再造的算法概念识别

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摘要

Techniques for automatic program recognition, at the algorithmic level, could be of high interest for the area of Software Maintenance, in particular for knowledge based reengineering, because the selection of suitable restructuring strategies is mainly driven by algorithmic features of the code. In this paper an automated hierarchical concept parsing recognition technique, and a formalism for the specification of algorithmic concepts, is presented. Based on this technique, the design and development of ALCOR, a production rule based system for automatic recognition of algorithmic concepts within programs, aimed at support of knowledge based reengineering for high performance, is presented.
机译:在算法级别上,用于程序自动识别的技术可能对软件维护领域尤其是基于知识的重新设计领域非常感兴趣,因为合适的重组策略的选择主要由代码的算法特征决定。本文提出了一种自动化的层次概念解析识别技术,并提出了一种形式化的算法概念规范。基于这种技术,提出了ALCOR的设计和开发,ALCOR是一种基于生产规则的系统,用于在程序中自动识别算法概念,旨在支持基于知识的高性能工程设计。

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