SEJan 21, 2019

DroidMeter: A Measurement Tool to Study Embedded Web Pages

arXiv:1901.07861v1
Originality Synthesis-oriented
AI Analysis

This addresses a gap in understanding web performance for mobile app developers and users, but it appears incremental as it focuses on measurement rather than solving a core problem.

The researchers tackled the lack of knowledge about the prevalence and performance of embedded web pages in mobile apps by developing DroidMeter, a tool that automatically searches for and measures these pages, though no concrete results or numbers are provided in the abstract.

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 the user navigates to the specific page in the app, the Web page is loaded from within the app. However, little is known about the prevalence or performance of these embedded Web pages. To analyze the embedded Web browsing performance at scale, we design and implement DroidMeter, a tool that can automatically search for embedded Web pages inside apps, trigger page loads, and retrieve performance metrics.

Foundations

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