Revisiting Prior Empirical Findings For Mobile Apps An Empirical Case Study on the 15 Most Popular Open Source Android Apps
Authors -
Mark, D. Syer;
Meiyappan, Nagappan;
Bram, Adams and
Ahmed, E. Hassan
Venue -
In Proceedings of CASCON 2013, Toronto/Markham Ontario, Canada, Nov 18-20, 2013
Related Tags -
Abstract -
Our increasing reliance on mobile devices has
led to the explosive development of millions of mobile
apps across multiple platforms that are used
by millions of people around the world every day.
However, most software engineering research is
performed on large desktop or server-side software
applications (e.g., Eclipse and Apache). Unlike the
software applications that we typically study, mobile
apps are 1) designed to run on devices with
limited, but diverse, resources (e.g., limited screen
space and touch interfaces with diverse gestures)
and 2) distributed through centralized app stores, where there is a low barrier to entry and heavy competition.
Hence, mobile apps may differ from traditionally
studied desktop or server side applications, the extent that existing software development best
practices may not apply to mobile apps. Therefore, we perform an exploratory study, comparing
mobile apps to commonly studied large applications
and smaller applications along two dimensions:
the size of the code base and the time to
fix defects. Finally, we discuss the impact of our
findings by identifying a set of unique software engineering
challenges posed by mobile apps.
Preprint -
PDF
BibTex -
@article{Syer2013_4,
author = {Mark, D. Syer and Meiyappan, Nagappan and Bram, Adams and Ahmed, E. Hassan},
keyword = {Mobile Apps, Defect Prediction},
title = {Revisiting Prior Empirical Findings For Mobile Apps An Empirical Case Study on the 15 Most Popular Open Source Android Apps},
type = {conference},
venue = {In Proceedings of CASCON 2013, Toronto/Markham Ontario, Canada, Nov 18-20, 2013}
}