Searched for: subject%3A%22Android%22
(1 - 2 of 2)
document
Geiger, Franz-Xaver (author), Malavolta, Ivano (author), Pascarella, L. (author), Palomba, F. (author), Di Nucci, D. (author), Bacchelli, A. (author)
Obtaining a good dataset to conduct empirical studies on the engineering of Android apps is an open challenge. To start tackling this challenge, we present AndroidTimeMachine, the first, self-contained, publicly available dataset weaving spread-out data sources about real-world, open-source Android apps. Encoded as a graph-based database,...
conference paper 2018
document
Palomba, F. (author), Di Nucci, D. (author), Panichella, A. (author), Zaidman, A.E. (author), De Lucia, Andrea (author)
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...
conference paper 2017