为软件风险评估集成度量和模型

Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering Pub Date : 1996-10-30 DOI:10.1109/ISSRE.1996.558707

J. Hudepohl, S. Aud, T. Khoshgoftaar, E. B. Allen, J. Mayrand

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引用次数: 21

摘要

Enhanced Measurement for Early Risk Assessment of Latent Defects (EMERALD)是一种评估可靠性风险的决策支持系统。软件开发人员和管理人员使用它来提高客户和最终用户所感知的电信软件服务质量。风险模型基于源代码的静态特征。本文展示了像EMERALD这样的系统如何通过集成以下内容来增强软件开发、测试和维护:软件质量改进策略;测量和模型;并及时将结果交付给开发人员的桌面。本文还总结了利用大型工业电信软件系统的数据对EMERALD模型进行的实证实验。EMERALD已应用于一个非常大的系统，在程序中有超过1200万行源代码。还讨论了经验和教训。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Integrating metrics and models for software risk assessment

Enhanced Measurement for Early Risk Assessment of Latent Defects (EMERALD) is a decision support system for assessing reliability risk. It is used by software developers and managers to improve telecommunications software service quality as perceived by the customer and the end user. Risk models are based on static characteristics of source code. This paper shows how a system such as EMERALD can enhance software development, testing, and maintenance by integration of: a software quality improvement strategy; measurements and models; and delivery of results to the desktop of developers in a timely manner. This paper also summarizes empirical experiments with EMERALD's models using data from large industrial telecommunications software systems. EMERALD has been applied to a very large system with over 12 million lines of source code within procedures. Experience and lessons learned are also discussed.

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Proceedings of ISSRE '96: 7th International Symposium on Software Reliability Engineering

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