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Increased system reliability through improved validation of knowledge in expert systems with single domain expert development teams.

机译:通过单领域专家开发团队改善专家系统中知识的验证,提高了系统可靠性。

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摘要

Current software engineering techniques provide a solid foundation for the validation and verification of computer applications. They ensure that delivered applications are of higher quality and have a reduced number of “bugs” due to developer error. These techniques do not address “bugs” that are inherent in the knowledge, requirements, or specifications as they are received from the experts. 30% of the “bugs” occurring in software development originate in the Requirements Phase (Jones, 1991). Baseline data indicates that a third of these, or 10% of the “bugs” in software development projects, are due to errors in the knowledge or specifications received from the expert. This dissertation describes a technique, Knowledge Validation, which enhances knowledge acquisition for expert system development or specification and requirements gathering in traditional software development projects.; For projects with multiple experts participating on the development team, techniques such as use of the Delphi Algorithm (Brown et al. 1969; Shafai, 1989) are available to reduce these expert induced errors. This technique focuses on projects where there is a single expert participating on the development team.
机译:当前的软件工程技术为验证和验证计算机应用程序提供了坚实的基础。他们确保交付的应用程序具有更高的质量,并减少由于开发人员错误而导致的“错误”数量。这些技术无法解决从专家那里收到的知识,要求或规范中固有的“错误”。在软件开发中发生的“错误”中,有30%来自需求阶段(Jones,1991)。基线数据表明,其中三分之一,即软件开发项目中的“错误”的10%,是由于从专家那里获得的知识或规范中的错误而引起的。本文介绍了一种知识验证技术,该技术可以增强专家系统开发或规范以及传统软件开发项目中收集的需求方面的知识获取。对于有多个专家参与开发团队的项目,可以使用诸如使用Delphi算法(Brown等,1969; Shafai,1989)之类的技术来减少这些专家引起的错误。该技术专注于只有一个专家参与开发团队的项目。

著录项

  • 作者

    Clevenson, Aaron Ben.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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