LogChamber: Inferring Source Code Locations Corresponding to Mobile Applications Run-time Logs

• Item type: Trans(1)
• 公開日: 2016-05-24
• タイトル: LogChamber: Inferring Source Code Locations Corresponding to Mobile Applications Run-time Logs
• タイトル / 言語: en
• タイトル: LogChamber: Inferring Source Code Locations Corresponding to Mobile Applications Run-time Logs
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [通常論文] logs, static analysis, debug, mobile application, Android
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Natural Science & Technology, Kanazawa University
• 著者所属: Graduate School of Natural Science & Technology, Kanazawa University
• 著者所属: Graduate School of Natural Science & Technology, Kanazawa University
• 著者所属(英): en
• 著者所属(英): Graduate School of Natural Science & Technology, Kanazawa University
• 著者所属(英): en
• 著者所属(英): Graduate School of Natural Science & Technology, Kanazawa University
• 著者所属(英): en
• 著者所属(英): Graduate School of Natural Science & Technology, Kanazawa University
• 著者名: Yuki, Ono; Kouhei, Sakurai; Satoshi, Yamane
• 著者名(英): Yuki, Ono; Kouhei, Sakurai; Satoshi, Yamane
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We present a development support tool, called LogChamber, which infers source-code locations by analyzing run-time logs of mobile applications. During development, developers insert log functions into applications calls in order to confirm that the applications correctly run as expected. After that, they need to have a process for estimating a program's runtime behavior in order to identify the locations of unintended behavior. Such processes rely on the abilities of the developers and are not easy in many cases. Most runtime environments of mobile applications provide only limited resources, and as a result, cannot save sufficiently many runtime logs. The situation is made even worse by careless insertions of log-function calls. The method presented in this paper analyzes static source code and runtime logs. After that, it supports developers by quickly inferring candidates of log function calls. For fast inference of candidates, it extracts log strings from the source code and constructs an index of their locations in advance. We implemented our method as a plugin tool on Android Studio, one of the major integrated development environments for Android applications. We report our experiments with the implementation on real open-source applications.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.4(online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We present a development support tool, called LogChamber, which infers source-code locations by analyzing run-time logs of mobile applications. During development, developers insert log functions into applications calls in order to confirm that the applications correctly run as expected. After that, they need to have a process for estimating a program's runtime behavior in order to identify the locations of unintended behavior. Such processes rely on the abilities of the developers and are not easy in many cases. Most runtime environments of mobile applications provide only limited resources, and as a result, cannot save sufficiently many runtime logs. The situation is made even worse by careless insertions of log-function calls. The method presented in this paper analyzes static source code and runtime logs. After that, it supports developers by quickly inferring candidates of log function calls. For fast inference of candidates, it extracts log strings from the source code and constructs an index of their locations in advance. We implemented our method as a plugin tool on Android Studio, one of the major integrated development environments for Android applications. We report our experiments with the implementation on real open-source applications.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.4(online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11464814
• 書誌情報: 情報処理学会論文誌プログラミング（PRO）; 巻 9, 号 2, 発行日 2016-05-24
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7802
• 出版者 / 言語: ja
• 出版者: 情報処理学会