Lightweight Detection of Android-specific Code Smells

Lightweight Detection of Android-specific Code Smells: The aDoctor Project

Palomba, F. (TU Delft Software Engineering; University of Salerno)
Di Nucci, D. (University of Salerno)
Panichella, A. (University of Luxembourg)
Zaidman, A.E. (TU Delft Software Engineering)
De Lucia, Andrea (University of Salerno)

Pinzger, Martin (editor)
Bavota, Gabriele (editor)
Marcus, Andrian (editor)

2017

Code smells are symptoms of poor design solutions applied by programmers during the development of software systems. While the research community devoted a lot of effort to studying and devising approaches for detecting the traditional code smells defined by Fowler, little knowledge and support isavailable for an emerging category of Mobile app code smells. Recently, Reimann et al. proposed a new catalogue of Androidspecific code smells that may be a threat for the maintainability and the efficiency of Android applications. However, current tools working in the context of Mobile apps provide limited support and, more importantly, are not available for developers interested in monitoring the quality of their apps. To overcome these limitations, we propose a fully automated tool, coined ADOCTOR, able to identify 15 Android-specific code smells from the catalogue by Reimann et al. An empirical study conductedon the source code of 18 Android applications reveals that the proposed tool reaches, on average, 98% of precision and 98% of recall. We made ADOCTOR publicly available.

Android-specific Code Smells
Detection Tool
Empirical Study

http://resolver.tudelft.nl/uuid:349ca254-ea0d-4210-9169-791e3652a6ab

https://doi.org/10.1109/SANER.2017.7884659

IEEE, Piscataway, NJ

978-1-5090-5501-2

Proceedings - 24th International Conference on Software Analysis, Evolution and Reengineering, SANER 2017

SANER 2017, 2017-02-21 → 2017-02-24, Klagenfurt, Austria

Institutional Repository

conference paper

© 2017 F. Palomba, D. Di Nucci, A. Panichella, A.E. Zaidman, Andrea De Lucia