On the Evolution of Mobile App Complexity

Jun Gao, Li Li, Tegawendé F. Bissyandé, Jacques Klein
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引用次数: 11

Abstract

Android developers are known to frequently update their apps for fixing bugs and addressing vulnerabilities, but more commonly for introducing new features. This process leads a trail in the ecosystem with multiple successive app versions which record historical evolutions of a variety of apps. While the literature includes various works related to such evolutions, little attention has been paid to the research question on how quality evolves, in particular with regards to maintainability and code complexity. In this work, we fill this gap by presenting a large-scale empirical study: we leverage the AndroZoo dataset to obtain a significant number of app lineages (i.e., successive releases of the same Android apps), and rely on six well-established, maintainability-related complexity metrics commonly accepted in the literature on app quality, maintainability etc. Our empirical investigation eventually reveals that, overall, while Android apps become bigger in terms of code size as time goes by, the apps themselves appear to be increasingly maintainable and thus decreasingly complex.
关于手机应用复杂性的演变
众所周知,Android开发人员经常更新他们的应用程序,以修复错误和解决漏洞,但更常见的是引入新功能。这个过程在生态系统中引导了多个连续的应用版本,记录了各种应用的历史演变。虽然文献中包含了与这种演变相关的各种工作,但很少有人关注质量如何演变的研究问题,特别是关于可维护性和代码复杂性的研究问题。在这项工作中,我们通过提出大规模的实证研究来填补这一空白:我们利用AndroZoo数据集来获得大量的应用程序谱系(即,相同Android应用程序的连续发布),并依赖于六个公认的、与可维护性相关的复杂性指标,这些指标在应用程序质量、可维护性等方面的文献中被普遍接受。我们的实证调查最终显示,总体而言,随着时间的推移,虽然Android应用的代码规模越来越大,但应用本身似乎越来越容易维护,因此复杂性也越来越低。
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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