A comparative study of MI tools: Defining the Roadmap to MI tools standardization

M. I. Sarwar, W. Tanveer, I. Sarwar, W. Mahmood
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引用次数: 5

Abstract

Software maintainability has always been a significant factor in the success or failure of any software product. There are numerous ways to calculate software maintainability but none of them has been able to grab as much industrial acceptance as the maintainability index (MI). MI can be calculated with the help of various tools, however selection of an appropriate tool for specific application is a critical research issue. This indicates that there is a dire need to clearly identify behavior of MI tools used for calculating software maintainability for various software source code scenarios. For this purpose we have analyzed behaviors of various MI tools with different MI parameters using a variety of test scenarios. We have developed a set of benchmark MI parameters test-cases for available MI tools to compare their results on the basis of features they support. We then executed the test scenarios on selected proprietary and open-source MI tools and evaluated their strengths and weaknesses on the basis of test results. The results highlighted weaknesses of some of the MI tools and helped us in making recommendations for selection of appropriate tool for specific application having better ability to determine the maintainability of the software system in terms of ldquomaintainability indexrdquo.
MI工具的比较研究:定义MI工具标准化的路线图
软件的可维护性一直是决定任何软件产品成败的重要因素。计算软件可维护性的方法有很多,但没有一种方法能像可维护性指数(MI)那样得到业界的广泛认可。MI可以在各种工具的帮助下计算,但是为特定应用选择合适的工具是一个关键的研究问题。这表明,迫切需要清楚地识别用于计算各种软件源代码场景的软件可维护性的MI工具的行为。为此,我们使用各种测试场景,分析了具有不同MI参数的各种MI工具的行为。我们已经为可用的MI工具开发了一组基准MI参数测试用例,以便根据它们支持的特性比较它们的结果。然后,我们在选定的专有和开源MI工具上执行测试场景,并根据测试结果评估它们的优点和缺点。结果突出了一些MI工具的弱点,并帮助我们为特定应用程序选择合适的工具提供建议,这些工具具有更好的能力,可以根据可维护性指数确定软件系统的可维护性。
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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