Tracking the Software Quality of Android Applications along their Evolution - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Tracking the Software Quality of Android Applications along their Evolution

(1, 2, 3, 4) , (3, 4) , (2, 1) , (3, 4) , (2, 1)
1
2
3
4

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.
Fichier principal
Vignette du fichier
hecht-ase15-preprint.pdf (452.61 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01178734 , version 1 (17-09-2015)

Identifiers

  • HAL Id : hal-01178734 , version 1

Cite

Geoffrey Hecht, Benomar Omar, Romain Rouvoy, Naouel Moha, Laurence Duchien. Tracking the Software Quality of Android Applications along their Evolution. 30th IEEE/ACM International Conference on Automated Software Engineering, Nov 2015, Lincoln, Nebraska, United States. pp.12. ⟨hal-01178734⟩
814 View
2048 Download

Share

Gmail Facebook Twitter LinkedIn More