A 1 day workshop

Live online events

  • 12 October
    1 day, 09:30 AM BST - 05:00 PM BST
    • €650.00 excl. VAT
    Register9 places remaining
  • 3 December
    1 day, 09:30 AM GMT - 05:00 PM GMT
    • €650.00 excl. VAT
    Register12 places remaining
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Testers never have enough time. How long should we spend testing? How long will enough testing take?

This course looks at current estimation techniques to aid accurate test estimation. The course covers several methods of estimation, with the positives and negatives for each method based on the experience Expleo Group has gained over the years working in many industries.

Course Objectives

By the end of the course attendees, through instructor-led presentations, exercises and discussions, will be able to:

  • Describe the basis for estimation and the reasons why many estimates performed will be wrong.
  • Explain the benefits and shortcomings of conventional methodologies for test estimation.
  • Present an established estimate to management on a cost relative, risk-management basis.
  • Adjust the estimated schedule and budget to fit project constraints without undermining accuracy or unduly increasing the risk.

Course Outline

This one-day workshop covers:

  • Principles of estimation
  • Risk and estimation
  • Why most estimates are wrong
  • The real purpose of estimates
  • Estimates, targets and commitment
  • Over-estimation Vs under-estimation
  • The importance of history in estimation
  • Estimation risks and assumptions
  • Practical techniques to develop an estimate


Knowledge of general test processes is required.

Your benefits at a glance

  • Learn the most up-to-date methodology
  • Deliver increased efficiency and effectiveness to your team
  • Learn through best practices and real examples
  • Learn  with trainers who have proven track records
  • Flexible delivery with online learning options
  • Train with the world’s leading quality specialist for digital business

Who should attend

This course is suitable for anyone who wants to gain an understanding of how to make test estimation work in their context.