The aDoctor Project

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
in studying and devising approaches for detecting the traditional
code smells defined by Fowler, a little knowledge and support is
available for an emerging category of Mobile app code smells.
Specifically, Reimann et al. recently proposed a new catalogue
of Android-specific code smells that may threat the maintainability and the efficiency of Android applications. Existing 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 as aDoctor , able to identify 15 Android-specific code smells from
the catalogue by Reimann et al. An empirical study conducted
on the source code of 18 Android applications reveal that the
proposed tool is highly performant and reaches, on average, 98%
of precision and 98% of recall. We made aDoctor publicly
available.