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Home/ Questions/Q 423219
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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T19:09:31+00:00 2026-05-12T19:09:31+00:00

What is the best way to measure coverage for your Acceptance Tests?? How do

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What is the best way to measure coverage for your Acceptance Tests??

How do you define how much your acceptance tests cover and when they are enough??

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  1. Editorial Team
    Editorial Team
    2026-05-12T19:09:31+00:00Added an answer on May 12, 2026 at 7:09 pm

    When doing acceptance testing, I’d rather look at the functional coverage i.e. how much features (or user stories or use cases) of a given application are tested. And to me, for each feature (or user story or use case), all scenari or possible paths should be tested. In other words, features should be the starting point to write a test plan and the goal should be to cover features, not code. This is a slight difference but an important one: measuring acceptance testing with code-coverage is developer oriented, measuring functional coverage is end-user oriented.

    Regarding measurement, Ron Jeffries, one of the founding fathers of Agile, wrote an excellent summary of what he considers a truly valuable metric, RTF or Running Tested Features. You can view the article here. I’m just quoting a small part below:

    What is the Point of the Project?

    I’m just guessing, but I think the
    point of most software development
    projects is software that works, and
    that has the most features possible
    per dollar of investment. I call that
    notion Running Tested [Features], and
    in fact it can be measured, to a
    degree.

    Imagine the following definition of
    RTF:

    1. The desired software is broken down into named features
      (requirements, stories) which are part
      of what it means to deliver the
      desired system.
    2. For each named feature, there are one or more automated acceptance
      tests which, when they work, will show
      that the feature in question is
      implemented.
    3. The RTF metric shows, at every moment in the project, how many
      features are passing all their
      acceptance tests.

    How many customer-defined features are
    known, through independently-defined
    testing, to be working? Now there’s a
    metric I could live with.

    To report progress, I especially like cumulative flow diagrams. They clearly show when something is going wrong, e.g. (here a burnup style):

    alt text
    (source: xprogramming.com)

    For a real life example, have a look at this post or this one (burndown style chart).

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