NDLI: Learning Resource Management Specifications in Smartphones

Content Provider	IEEE Xplore Digital Library
Author	Yanrong Kang Xin Miao Haoxiang Liu Qiang Ma Kebin Liu Yunhao Liu
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China (Yanrong Kang; Haoxiang Liu) \|\| Sch. of Software & TNLIST, Tsinghua Univ., Beijing, China (Xin Miao; Qiang Ma; Kebin Liu; Yunhao Liu)
Abstract	Over the past few years we have observed a phenomenal growth of smartphones. Smartphones are equipped with various hardware and software resources such as Bluetooth, camera and gravity sensors. If these resources are not managed appropriately, it may cause severe problems such as battery drains and system crashes. However, the specifications of resource management are usually implicit. In this paper, we investigate the problem of mining resource management specifications from off-the-shelf apps. Our key insight is that if a set of operations to a resource are frequently performed in a specific order, it must contain the specifications of how to manage the resource. We design a tool named Automatic Resource Specification Miner (ARSM), to automatically extract resource management specifications in smartphones. In our experiments, ARSM can mine tens of rules from 100 top rated Android apps within six hours. Our work is orthogonal to existing studies on diagnosing smartphone apps. With the resource management specifications discovered, ARSM can help them pinpoint more bugs in apps.
Starting Page	100
Ending Page	107
File Size	1531054
Page Count	8
File Format	PDF
ISSN	15219097
e-ISBN	9780769557854
DOI	10.1109/ICPADS.2015.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-14
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smart phones Resource management Androids Humanoid robots Feature extraction Batteries Data mining Programming Specification Mining Mobile Computing Smartphone Application
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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