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Creating a metric

See Custom Metric development for details

Creating a Custom Selection

See Custom Metric development to see how to get to a Custom Selection mode.

Further will be the explanation of the code you should put in the “PerfQL” field

Introduction

We want to build a metric that is capable of predicting the probability of scope completion in several future iterations. In other words if we have two curves describing growth of the scope and the amount of tickets in “done“ status we want to know the probability of crossing these curves in the future.

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To do so we will use the data about scope and done curves for every iteration in the past and normal distribution law as one of the most widespread law for many processes in the world. Now let’s explore the sql-query calculating required probabilities.

Creating a metric

See Custom Metric development for details

Creating a Custom Selection

See Custom Metric development to see how to get to a Custom Selection mode.

Further will be the explanation of the code you should put in the “PerfQL” field

Fill the required parameters

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