Assessing the Use of AutoML for Data-Driven Software Engineering. Calefato, F., Quaranta, L., Lanubile, F., & Kalinowski, M. In 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), pages 1–12, New Orleans, LA, USA, 2023. IEEE. ![Assessing the Use of AutoML for Data-Driven Software Engineering [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex 4 downloads @inproceedings{calefato_assessing_2023,
address = {New Orleans, LA, USA},
title = {Assessing the {Use} of {AutoML} for {Data}-{Driven} {Software} {Engineering}},
copyright = {https://doi.org/10.15223/policy-029},
isbn = {978-1-66545-223-6},
url = {https://ieeexplore.ieee.org/document/10304796/},
doi = {10.1109/ESEM56168.2023.10304796},
urldate = {2024-09-10},
booktitle = {2023 {ACM}/{IEEE} {International} {Symposium} on {Empirical} {Software} {Engineering} and {Measurement} ({ESEM})},
publisher = {IEEE},
author = {Calefato, Fabio and Quaranta, Luigi and Lanubile, Filippo and Kalinowski, Marcos},
year = {2023},
keywords = {SP1, WP4},
pages = {1--12},
}
Downloads: 4
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