IEICE TRANSACTIONS on Information
Semi-Automatically Extracting Features from Source Code of Android Applications
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E96-D No.12 pp.2857-2859
- Publication Date
- 2013/12/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E96.D.2857
- Type of Manuscript
- LETTER
- Category
- Software Engineering
Authors
Tetsuya KANDA
Osaka University
Yuki MANABE
Osaka University
Takashi ISHIO
Osaka University
Makoto MATSUSHITA
Osaka University
Katsuro INOUE
Osaka University
Keyword
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Tetsuya KANDA, Yuki MANABE, Takashi ISHIO, Makoto MATSUSHITA, Katsuro INOUE, "Semi-Automatically Extracting Features from Source Code of Android Applications" in IEICE TRANSACTIONS on Information,
vol. E96-D, no. 12, pp. 2857-2859, December 2013, doi: 10.1587/transinf.E96.D.2857.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E96.D.2857/_p
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@ARTICLE{e96-d_12_2857,
author={Tetsuya KANDA, Yuki MANABE, Takashi ISHIO, Makoto MATSUSHITA, Katsuro INOUE, },
journal={IEICE TRANSACTIONS on Information},
title={Semi-Automatically Extracting Features from Source Code of Android Applications},
year={2013},
volume={E96-D},
number={12},
pages={2857-2859},
abstract={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.},
keywords={},
doi={10.1587/transinf.E96.D.2857},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - Semi-Automatically Extracting Features from Source Code of Android Applications
T2 - IEICE TRANSACTIONS on Information
SP - 2857
EP - 2859
AU - Tetsuya KANDA
AU - Yuki MANABE
AU - Takashi ISHIO
AU - Makoto MATSUSHITA
AU - Katsuro INOUE
PY - 2013
DO - 10.1587/transinf.E96.D.2857
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E96-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2013
AB - 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.
ER -
English
