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Guide: Empirical Process Control

What is Empirical Process Control?

Empirical Process Control is a concept that forms the foundation of Scrum, emphasizing the ability to adapt to change over following a predetermined plan. It assumes that processes are imperfectly defined and that knowledge comes from experience.

Why is it Important?

Empirical Process Control is important because it provides a flexible and adaptive framework for problem solving and continuous improvement. It paves the way for innovation by encouraging iterative and incremental development.

How Does Empirical Process Control Work?

Empirical Process Control works on three main principles:
1. Transparency: All aspects of the process should be visible to those responsible for the outcome.
2. Inspection: Regular examination of the process and the product in development.
3. Adaptation: If aspects deviate outside acceptable limits, adjustments must be made as soon as possible.

Answering Questions on Empirical Process Control in an Exam:

To answer questions on Empirical Process Control, remember the three principles and how they apply to Scrum. You might be asked to explain or give examples of transparency, inspection and adaptation in a Scrum context.

Exam Tips:
Keep in mind:
1. Be clear on the principles of Empirical Process Control.
2. Understand the real-life application of these principles in a Scrum context.
3. Be prepared to explain how these principles contribute to Scrum's flexibility and adaptability.
4. Practice with scenario-based questions to understand application of Empirical Process Control in different situations.

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Empirical Process Control practice test

Empirical process control is a core principle of Scrum, which is based on the three pillars of transparency, inspection, and adaptation. Transparency ensures that aspects which affect the outcome is visible to those managing the outcomes. Inspection involves routinely checking these aspects to detect unwanted variances. Adaptation involves adjusting the process if one or more aspects deviate outside acceptable limits. This approach is ideal for complex work where the path to the goal cannot be fully predicted in advance. The empirical process allows the scrum team to adapt to changes and continuously improve the product and the working process.

Time: 5 minutes   Questions: 5

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  • 3547 Superior-grade Professional Scrum Master I practice questions.
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