Print Email Facebook Twitter Detecting Code Smells in Android Applications Title Detecting Code Smells in Android Applications Author Lim, Dustin (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Contributor Zaidman, Andy (mentor) Palomba, Fabio (mentor) van Deursen, Arie (graduation committee) Tax, David (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science Date 2018-01-31 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. Subject code smelldetectionandroid To reference this document use: http://resolver.tudelft.nl/uuid:bab69ac3-07b7-4dae-8b80-670443af2faa Part of collection Student theses Document type master thesis Rights © 2018 Dustin Lim Files PDF dustinlim_final_version.pdf 961.9 KB Close viewer /islandora/object/uuid%3Abab69ac3-07b7-4dae-8b80-670443af2faa/datastream/OBJ/view