Automatic discovery of performance and energy pitfalls in HTML and CSS

Adrian Sampson,Calin Cascaval,Luis Ceze,Pablo Montesinos,Dario Suarez Gracia

Workload Characterization（2012）

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摘要

WebChar is a tool for analyzing browsers holistically to discover properties of HTML and CSS that lead to poor performance and high energy consumption. It analyzes a large collection of Web pages to mine a model for their performance based on static attributes of the content. An evaluation on two platforms, a netbook and a smartphone, demonstrates that WebChar can yield actionable conclusions for both content developers and browser implementors.

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关键词

poor performance,automatic discovery,browsers holistically,energy pitfall,static attribute,high energy consumption,actionable conclusion,browser implementors,large collection,web page,content developer,data mining

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