Regaining lost knowledge through dynamic analysis and aspect orientation $an industrial experience report

A. Zaidman, S. Demeyer, Bram Adams, K. Schutter, G. Hoffman, Bernard De Ruyck
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引用次数: 32

Abstract

This paper describes our experiences of applying dynamic analysis solutions on an industrial legacy application written in C, with the help of aspect orientation (AO). We use a number of dynamic analysis techniques that can help in alleviating the problem of (1) establishing the quality of the available regression test and (2) regaining lost knowledge of the application. We also show why our aspect language for C, aspicere, is well-suited for using dynamic analysis in legacy environments. Finally, we present the case study itself the results we have obtained and the validation thereof by the original developers and current maintainers of the application. We also mention some typical pitfalls that we encountered while dealing with legacy applications in a reengineering context
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通过动态分析和面向方面的行业经验报告,重新获得丢失的知识
本文描述了我们在面向方面(AO)的帮助下,在用C编写的工业遗留应用程序上应用动态分析解决方案的经验。我们使用许多动态分析技术,可以帮助减轻(1)建立可用回归测试的质量和(2)恢复丢失的应用程序知识的问题。我们还展示了为什么C语言的方面语言aspicere非常适合在遗留环境中使用动态分析。最后,我们介绍了案例研究本身,我们获得的结果以及应用程序的原始开发人员和当前维护者对其的验证。我们还提到了在再工程上下文中处理遗留应用程序时遇到的一些典型缺陷
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