.png){kind=icon}
返回
User Interaction-based Profiling System for Android Application Tuning
.png){kind=icon}
PRE
AI
DOI：10.1145/2632048.2636091.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Quality improvement in mobile applications should be based on the consideration of several factors, such as users' diversity in spatio-temporal usage, as well as the device's resource usage, including battery life. Although application tuning should consider this practical issue, it is difficult to ensure the success of this process during the development stage due to the lack of information about application usage. This paper proposes a user interaction-based profiling system to overcome the limitations of development-level application debugging. In our system, the analysis of both device behavior and energy consumption is possible with fine-grained process-level application monitoring. By providing fine-grained information, including user interaction, system behavior, and power consumption, our system provides meaningful analysis for application tuning. The proposed method does not require the source code of the application and uses a web-based framework so that users can easily provide their usage data. Our case study with a few popular applications demonstrates that the proposed system is practical and useful for application tuning.
Keyword:
Mobile Application
Profiling
Tuning
Debugging
Web-based Framework
User Interaction
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
机构
引用论文
分享收藏PCMs for Residential Building Applications: A Short Review Focused on Disadvantages and Proposals for Future Development.png)
Buildings
OAAI
BuildingsIF0
OAAI分享收藏The Impact of Excluding Food Guarding from a Standardized Behavioral Canine Assessment in Animal SheltersAnimalsOAAI
AnimalsIF0
OAAI分享收藏
查看更多内容