<?xml version="1.0" encoding="utf-8"?>
<feed xml:lang="en-us" xmlns="http://www.w3.org/2005/Atom"><title>SEI News | None</title><link href="http://www.sei.cmu.edu/feeds/topic/testing/atom/" rel="alternate"/><link href="http://www.sei.cmu.edu/feeds/topic/testing/atom/" rel="self"/><id>http://www.sei.cmu.edu/feeds/topic/testing/atom/</id><updated>2025-05-28T00:00:00-04:00</updated><subtitle>Updates on changes and additions to SEI News for posts matching: Testing</subtitle><entry><title>Updated Machine Learning Test and Evaluation Tool and Process Adds Major Features</title><link href="https://www.sei.cmu.edu/news/updated-machine-learning-test-and-evaluation-tool-and-process-adds-major-features/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2025-05-28T00:00:00-04:00</published><updated>2025-05-28T00:00:00-04:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/updated-machine-learning-test-and-evaluation-tool-and-process-adds-major-features/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">MLTE version 2.0.0 bridges silos between machine learning model developers and other stakeholders of ML-enabled software systems.</summary><category term="Testing"/><category term="Machine Learning"/></entry><entry><title>New SEI Tool Enhances Machine Learning Model Test and Evaluation</title><link href="https://www.sei.cmu.edu/news/new-sei-tool-enhances-machine-learning-model-test-and-evaluation/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2024-10-17T00:00:00-04:00</published><updated>2024-10-17T00:00:00-04:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/new-sei-tool-enhances-machine-learning-model-test-and-evaluation/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">Machine Learning Test and Evaluation version 1.0 applies software engineering best practices to ensure ML model development results in production-ready ML models.</summary><category term="Machine Learning"/><category term="Testing"/></entry><entry><title>Report Advises Major AI Investments for U.S. Department of the Air Force</title><link href="https://www.sei.cmu.edu/news/report-advises-major-ai-investments-for-us-department-of-the-air-force/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates" rel="alternate"/><published>2023-09-12T00:00:00-04:00</published><updated>2023-09-12T00:00:00-04:00</updated><author><name>Software Engineering Institute Public Relations</name></author><id>https://www.sei.cmu.edu/news/report-advises-major-ai-investments-for-us-department-of-the-air-force/?utm_source=news&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</id><summary type="html">A committee including the SEI’s Tom Longstaff recommends a rapid transformation of the department’s artificial intelligence testing and evaluation capabilities.</summary><category term="Artificial Intelligence"/><category term="Testing"/></entry></feed>