软件保证的原理和度量模型

N. Mead, D. Shoemaker, Carol Woody
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引用次数: 3

摘要

确保和维持软件产品的完整性需要所有项目涉众在整个开发和维护过程中对产品的状态有共同的理解。准确地测量产品的状态有助于实现这种共同的理解。本文提出了一个由七个原则组织的有效度量模型,这些原则捕获了发展和维持的基本管理和技术问题。这些原则指导了文件中提出的各项措施的制定。来自定量度量的数据帮助组织涉众对其整体软件保证过程的性能做出决策。基于风险的补充数据帮助他们做出与风险评估相关的决策。定量的和基于风险的度量形成了一个综合的模型来评估项目和组织的绩效。使用此模型的组织将能够评估其性能,以确保安全可靠的产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Principles and Measurement Models for Software Assurance
Ensuring and sustaining software product integrity requires that all project stakeholders share a common understanding of the status of the product throughout the development and sustainment processes. Accurately measuring the product’s status helps achieve this shared understanding. This paper presents an effective measurement model organized by seven principles that capture the fundamental managerial and technical concerns of development and sustainment. These principles guided the development of the measures presented in the paper. Data from the quantitative measures help organizational stakeholders make decisions about the performance of their overall software assurance processes. Complementary risk-based data help them make decisions relative to the assessment of risk. The quantitative and risk-based measures form a comprehensive model to assess program and organizational performance. An organization using this model will be able to assess its performance to ensure secure and trustworthy products.
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