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Detecting User-Perceived Failure in Mobile Applications via Mining User Traces

Autor: Tian, Deyu

Mobile applications (apps) often suffer from failure nowadays. Developers usually pay more attention to the failure that is perceived by users and compromises the user experience. Existing approaches focus on mining large volume logs to detect failur

Externí odkaz: http://arxiv.org/abs/2103.12958

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Akademický článek

Dislocation determination and quality control of industrial casting monocrystalline silicon

Autor: Zhou, Cheng, Xu, Yunfei, He, Liang, Luo, Hongzhi, Tian, Deyu, Gan, Shengquan, Wang, Wenping, Li, Jianmin

Publikováno v: In Solar Energy Materials and Solar Cells April 2024 267

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Moving Deep Learning into Web Browser: How Far Can We Go?

Autor: Ma, Yun, Xiang, Dongwei, Zheng, Shuyu, Tian, Deyu, Liu, Xuanzhe

Recently, several JavaScript-based deep learning frameworks have emerged, making it possible to perform deep learning tasks directly in browsers. However, little is known on what and how well we can do with these frameworks for deep learning in brows

Externí odkaz: http://arxiv.org/abs/1901.09388

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DroidMeter: A Measurement Tool to Study Embedded Web Pages

Autor: Tian, Deyu

Traditional Web browsing involves typing a URL on a browser and loading a Web page. In contrast, there is another form of Web browsing on mobile devices, i.e., embedded Web browsing, which occurs when mobile apps embed a Web page within the app. When

Externí odkaz: http://arxiv.org/abs/1901.07861

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