An integrated expert system framework for software quality assurance

Proceedings., Fourteenth Annual International Computer Software and Applications Conference Pub Date : 1990-10-31 DOI:10.1109/CMPSAC.1990.139345

S. Yau, Yeou-Wei Wang, Jules G. Huang, Jinshuan E. Lee

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引用次数: 5

Abstract

A software quality assurance framework using knowledge-based engineering technology is described. The knowledge-engineering technology uses an object-oriented database to store the knowledge (the software quality information), and rules and meta-rules are its inferential knowledge. A dependency-based truth maintenance system based on hypothetical reasoning is used for design evaluation of the software quality. This framework can provide knowledge-based assistance for quality assurance throughout the entire software development cycle. To ensure high quality software and achieve cost-effective software development and maintenance, software metrics are used during the entire software development cycle to measure and predict the quality of software products. Various metrics for software attributes for all phases of the software development cycle will be collected and stored in the object-oriented database. The integration of the knowledge base with the software quality framework provides a wide range of support to the development of large-scale software systems.<>

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一个集成的软件质量保证专家系统框架

描述了一个基于知识工程技术的软件质量保证框架。知识工程技术使用面向对象的数据库来存储知识(软件质量信息)，规则和元规则是其推理知识。采用基于假设推理的基于依赖关系的真值维护系统对软件质量进行设计评价。这个框架可以在整个软件开发周期中为质量保证提供基于知识的帮助。为了确保高质量的软件并实现具有成本效益的软件开发和维护，在整个软件开发周期中使用软件度量来度量和预测软件产品的质量。软件开发周期的所有阶段的软件属性的各种度量将被收集并存储在面向对象的数据库中。知识库与软件质量框架的集成为大规模软件系统的开发提供了广泛的支持

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Proceedings., Fourteenth Annual International Computer Software and Applications Conference

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