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Most of us should know by now that good requirements engineering can help organizations avoid unnecessary rework, defects, and failed projects.  Good requirements ensure the solution reflects exactly what is needed.

Of course, that's easy to say!  Hard to delivery...

We know that requirements must be SMART:

  • Specific
  • Measurable
  • Attainable
  • Realistic
  • Testable and Traceable

Intelligent Requirements with Machine Learning (ML)

How can we ensure these characteristics of requirements?  In large and complex projects there could be thousands of requirements with many of them being refined to adjust to changing needs.

This is where Machine Learning can come in handy.  ML can help us maintain intelligent requirements.

"One good way to solve the problem of requirements quality is by integrating machine learning to improve the entire process. A clever machine learning algorithm can prevent errors by checking every requirement that is written, as it is written." - Felix Otto

In this blog post Felix Otto explains how machine learning can deliver intelligence to requirements engineering.

Continue reading at ATOS Blog

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2021-11-20 Intelligent Requirements with Machine Learning (ML) Intelligent Requirements with Machine Learning (ML)

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