采用基于源代码的质量评估技术的经验

Janos Pantos, Árpád Beszédes, Pál Gyenizse, T. Gyimóthy
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引用次数: 5

摘要

基于测试的软件质量保证通常不能提供适当的效率和可靠性。为了解决这个问题,可以应用不同类型的静态验证技术,比如代码度量和代码检查。已经提出了许多基于静态源代码分析的质量评估方法,但是这些方法只能在特定的工业环境中使用——在这些环境中通常使用专有的编程语言——只有经过适当的调整后才能使用。本文介绍了采用现有技术和工具进行基于源代码分析的质量评估的经验。该技术已在工业环境中证明了其成功和可用性;能够对涉及专有技术的大型复杂软件系统进行全面和持续的质量监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experiences in Adapting a Source Code-Based Quality Assessment Technology
Testing-based software quality assurance often does not provide an appropriate level of efficiency and reliability. To aid this problem, different kinds of static verification techniques can be applied, like code metrics and code inspection. Many quality assessment methods that are based on static source code analysis has already been proposed, yet these can be used is particular industrial environment - in which often proprietary programming languages are used - only after appropriate adaptation. This paper presents experiences in adapting an existing technology and tools suitable for quality assessment based on source code analysis. The technology has demonstrated its success and usability in industrial environment; being capable of comprehensive and continuous quality monitoring of large and complex software systems involving proprietary technologies.
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