mcollina/autocannon

Inform about the number of observations

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#143 opened on Jun 26, 2018

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enhancementgood first issue

Description

To compute a confidence interval or determine if there is a statistical difference between two versions, at least three pieces of information is required:

  • the mean
  • the standard deviation (or variance)
  • the number of observations, that the mean and standard deviation were sampled from.

The number of observations is not really clear from the output.

In a previous conversation @mcollina wrote:

The approach that autocannon takes is that it samples once per second the number of requests that happened within that second (https://github.com/mcollina/autocannon/blob/master/lib/run.js#L119-L122). So, it's 30 samples.

It is not really clear to me how that data is aggregated. Or how it relates to 30 samples.

Contributor guide

Tech stack
javascriptnodejs
Domain
cliperformance
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Node.jsautocannon internals
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65
Research direction
Investigate lib/run.js to understand the sampling logic (around line 119-122). Then modify the output in the CLI report to include the number of observations. Review existing comments for aggregation details. Consider adding the count to the summary output.