New SEI Tool Enhances Machine Learning Model Test and Evaluation
October 18, 2024
October 18, 2024
PITTSBURGH, Pennsylvania, Oct. 18 (TNSres) -- Carnegie Mellon University's Software Engineering Institute issued the following news:
Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making it impossible to test and evaluate against system and operational requirements and constraints. The Software Engineering Institute (SEI) at Carnegie Mellon University (CMU) today announced its rele . . .
Software systems with a machine learning (ML) component often fail in production. One reason is that ML models are frequently developed in isolation, making it impossible to test and evaluate against system and operational requirements and constraints. The Software Engineering Institute (SEI) at Carnegie Mellon University (CMU) today announced its rele . . .