Detecting Code Smells in Android Applications

Master thesis (2018)

Authors

D. Lim Electrical Engineering, Mathematics and Computer Science

Contributors

A.E. Zaidman (supervisor 1)
F. Palomba (supervisor 1)
A. van Deursen (supervisor 2)
D.M.J. Tax (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2018 Dustin Lim
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Published Date

31-01-2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Code smells are patterns in programming code which indicate potential issues with software quality. Previous research resulted in the development of code smell detectors: automated tools which traverse through large quantities of code and return smell detections to software developers.
The Android platform has become very popular over the years but is relatively new in terms of scientific research. This research investigates the detection perfor- mance of existing detectors, that were not designed with Android in mind, on a dataset of Android apps. In addition, multiple smell detectors and source code metrics are combined in a machine learning approach to develop an Android-specific smell detector.