Articles and Posts Nov 16, 2021 3 mins 2602 Views 0 Comments 2 Likes 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 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 Login or Register to download Related Content Modern Requirements Receives Gold Award, Earning #1 Spot in 2023 Data Quadrant Best Requirements Management Solution Report by SoftwareReviews Did you like this article? 2 Upvote Intelligent Requirements Machine Learning 2021-11-16 Requirements.com All about Requirements 2021-11-20 Requirements.com Staff Intelligent Requirements with Machine Learning (ML) Comments / Discussions Please login or register to post comments.