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Conference papers

An Approach to Detect Android Antipatterns

Geoffrey Hecht 1, 2
1 SPIRALS - Self-adaptation for distributed services and large software systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Mobile applications are becoming complex software systems that must be developed quickly and evolve regularly to fit new user requirements and execution contexts. However, addressing these constraints may result in poor design choices, known as antipatterns, which may degrade software quality and performance. Thus, the automatic detection of antipatterns is an important activity that eases the future maintenance and evolution tasks. Moreover, it helps developers to refactor theirapplications and thus, to improve their quality. While antipatternsare well-known in object-oriented applications, their study in mobile applications is still in their infancy. In this paper, we presents a tooled approach, called PAPRIKA , to analyze Android applications and to detect object-oriented and Android-specific antipatterns from binaries of applications.
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Conference papers
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https://hal.inria.fr/hal-01122768
Contributor : Geoffrey Hecht <>
Submitted on : Wednesday, March 4, 2015 - 3:06:51 PM
Last modification on : Friday, December 11, 2020 - 6:44:06 PM

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  • HAL Id : hal-01122768, version 1

Citation

Geoffrey Hecht. An Approach to Detect Android Antipatterns . ICSE 2015 - ACM SRC, May 2015, Firenze, Italy. ⟨hal-01122768⟩

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