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The Exploring WebXPRT 3 white paper is now available

Today, we published the Exploring WebXPRT 3 white paper. The paper describes the differences between WebXPRT 3 and WebXPRT 2015, including changes we made to the harness and the structure of the six performance test workloads. We also explain the benchmark’s scoring methodology, how to automate tests, and how to submit results for publication. Readers will also find additional detail about the third-party functions and libraries that WebXPRT uses during the HTML5 capability checks and performance workloads.

Because data collection and privacy concerns are more relevant than ever, we also discuss the WebXPRT data collection mechanisms and our commitment to respecting testers’ privacy. Finally, for readers who may be unfamiliar with the XPRTs, we describe the other benchmark tools in the XPRT family, the role of the BenchmarkXPRT Development Community, and how you can contribute to the XPRTs.

Along with the WebXPRT 3 results calculation white paper and spreadsheet, the Exploring WebXPRT 3 white paper is designed to promote the high level of transparency and disclosure that is a core value of the BenchmarkXPRT Development Community. Both WebXPRT white papers and the results calculation spreadsheet are available on WebXPRT.com and on our XPRT white papers page. If you have any questions about the WebXPRT, please let us know, and be sure to check out our other XPRT white papers.

Justin

The WebXPRT 3 results calculation white paper is now available

As we’ve discussed in prior blog posts, transparency is a core value of our open development community. A key part of being transparent is explaining how we design our benchmarks, why we make certain development decisions, and how the benchmarks actually work. This week, to help WebXPRT 3 testers understand how the benchmark calculates results, we published the WebXPRT 3 results calculation and confidence interval white paper.

The white paper explains what the WebXPRT 3 confidence interval is, how it differs from typical benchmark variability, and how the benchmark calculates the individual workload scenario and overall scores. The paper also provides an overview of the statistical techniques WebXPRT uses to translate raw times into scores.

To supplement the white paper’s overview of the results calculation process, we’ve also published a spreadsheet that shows the raw data from a sample test run and reproduces the calculations WebXPRT uses.

The paper and spreadsheet are both available on WebXPRT.com and on our XPRT white papers page. If you have any questions about the WebXPRT results calculation process, please let us know, and be sure to check out our other XPRT white papers.

Justin

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