Tracking the Software Quality of Android Applications Along Their Evolution (T)

2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE) Pub Date : 2015-11-09 DOI:10.1109/ASE.2015.46

Geoffrey Hecht, Omar Benomar, Romain Rouvoy, Naouel Moha, L. Duchien

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引用次数: 108

Abstract

Mobile apps are becoming complex software systems that must be developed quickly and evolve continuously to fit new user requirements and execution contexts. However, addressing these requirements may result in poor design choices, also known as antipatterns, which may incidentally degrade software quality and performance. Thus, the automatic detection and tracking of antipatterns in this apps are important activities in order to ease both maintenance and evolution. Moreover, they guide developers to refactor their applications and thus, to improve their quality. While antipatterns are well-known in object-oriented applications, their study in mobile applications is still in its infancy. In this paper, we analyze the evolution of mobile apps quality on 3, 568 versions of 106 popular Android applications downloaded from the Google Play Store. For this purpose, we use a tooled approach, called PAPRIKA, to identify 3 object-oriented and 4 Android-specific antipatterns from binaries of mobile apps, and to analyze their quality along evolutions.

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跟踪Android应用软件质量的演变(T)

移动应用程序正在成为复杂的软件系统，必须快速开发并不断发展，以适应新的用户需求和执行环境。然而，处理这些需求可能会导致糟糕的设计选择，也称为反模式，这可能会顺便降低软件质量和性能。因此，在这个应用程序中，自动检测和跟踪反模式是简化维护和发展的重要活动。此外，它们还指导开发人员重构应用程序，从而提高应用程序的质量。虽然反模式在面向对象应用程序中是众所周知的，但它们在移动应用程序中的研究仍处于起步阶段。在本文中，我们分析了从b谷歌Play Store下载的106款流行Android应用的3568个版本的移动应用质量演变。为此，我们使用了一种名为PAPRIKA的工具方法，从移动应用程序的二进制文件中识别出3个面向对象的反模式和4个android特定的反模式，并分析它们的质量演变。

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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2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)

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