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    Home»Software Engineering»A Systems Approach to Machine Learning Test and Evaluation
    Software Engineering

    A Systems Approach to Machine Learning Test and Evaluation

    big tee tech hubBy big tee tech hubJuly 11, 20250241 Min Read
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    AMS Citation

    Derr, A., Echeverría, S., Maffey, K., and Lewis, G., 2025: Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation. Carnegie Mellon University, Software Engineering Institute’s Insights (blog), Accessed July 9, 2025,

    APA Citation

    Derr, A., Echeverría, S., Maffey, K., & Lewis, G. (2025, February 17). Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation. Retrieved July 9, 2025, from

    Chicago Citation

    Derr, Alex, Sebastián Echeverría, Katherine Maffey, and Grace Lewis. “Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation.” Carnegie Mellon University, Software Engineering Institute’s Insights (blog). Carnegie Mellon’s Software Engineering Institute, February 17, 2025.

    IEEE Citation

    A. Derr, S. Echeverría, K. Maffey, and G. Lewis, “Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation,” Carnegie Mellon University, Software Engineering Institute’s Insights (blog). Carnegie Mellon’s Software Engineering Institute, 17-Feb-2025 [Online]. Available: [Accessed: 9-Jul-2025].

    BibTeX Code

    @misc{derr_2025,
    author={Derr, Alex and Echeverría, Sebastián and Maffey, Katherine and Lewis, Grace},
    title={Introducing MLTE: A Systems Approach to Machine Learning Test and Evaluation},
    month={{Feb},
    year={{2025},
    howpublished={Carnegie Mellon University, Software Engineering Institute’s Insights (blog)},
    url={https://doi.org/10.58012/cqzv-wj37},
    note={Accessed: 2025-Jul-9}
    }



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