Software Musification

Andrea Mancino, G. Scanniello
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Abstract

In this paper, we propose an approach that uses software metrics to comprehend attributes of a codebase: maintainability, reusability, or complexity. This approach is new because it uses gathered metrics as the basis to associate musical sounds to source code classes. These sounds are arranged to compose a melody that can be both visualized (as a musical score) and played. We named this new way to deal with a codebase: software musification. To prove the validity of our proposal, we show a sample of its application. The main goal of this paper is to show our promising idea and to present research achievements at the early stages of our research.
软件Musification
在本文中,我们提出了一种使用软件度量来理解代码库属性的方法:可维护性、可重用性或复杂性。这种方法是新的,因为它使用收集的参数作为将音乐声音与源代码类联系起来的基础。这些声音被编排成一种旋律,既可以可视化(作为乐谱),也可以演奏。我们将这种处理代码库的新方法命名为:软件音乐化。为了证明我们的建议的有效性,我们给出了一个应用的例子。本文的主要目的是展示我们的研究前景,并在研究的早期阶段展示我们的研究成果。
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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