Minimum Viable Metrics for TDD and BDD

This article is a deep-dive at three Minimum Viable Metrics (MVM) for the evaluation of TDD and BDD. This article will give you a list of metrics, how to measure them, how to use the metrics and most importantly, how not to use them, along with what an ideal observation looks like. Lets dive in, right away!

Effectiveness of tests. Are automated tests (irrespective of whether they are due to TDD or BDD) helping us?

Trend (Individual numbers without a trend don’t convey anything)

Decreasing trend

Effectiveness of tests. Are automated tests (irrespective of whether they are due to TDD or BDD) helping us?

Individual number. No trend required.

≥ 1 per release. However, for increased stress on quality of a system with already high number of regression defects, we can aim for this to be ≥ N,where N is the minimum number of regression defects that the team commits to avoid every release.

Effectiveness of our BDD practice. Are we writing enough scenarios before developing? Is our 3-Amigos meeting helping us?

Threshold achievement, with trend

≤ X consistently over 3 or more releases, where X is the number of re-works that the team can tolerate in a release, without impact to quality and sustainability.

The above 3 metrics are minimum viable metrics that directly link to the customer goal of reduced defects and developer goal of reduced rework. We could choose to track the following additional metrics to put more challenge on the system, or in case, the above metrics are not directly measurable because of a reason.

Do you think these metrics are helpful? Have you used any other metrics in your environment that proved useful? Why not comment on this post to further the discussion?

Minimum Viable Metrics for TDD and BDD was published on August 26, 2017.

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