Semi-Automatically Extracting Features from Source Code of Android Applications

Tetsuya KANDA  Yuki MANABE  Takashi ISHIO  Makoto MATSUSHITA  Katsuro INOUE  

IEICE TRANSACTIONS on Information and Systems   Vol.E96-D   No.12   pp.2857-2859
Publication Date: 2013/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E96.D.2857
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Software Engineering
Android,  feature extraction,  software categorization,  API,  

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It is not always easy for an Android user to choose the most suitable application for a particular task from the great number of applications available. In this paper, we propose a semi-automatic approach to extract feature names from Android applications. The case study verifies that we can associate common sequences of Android API calls with feature names.