Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. Cabral, R., Kalinowski, M., Baldassarre, M. T., Villamizar, H., Escovedo, T., & Lopes, H. In Cleland-Huang, J., Bosch, J., Muccini, H., & Lewis, G. A., editors, Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI, CAIN 2024, Lisbon, Portugal, April 14-15, 2024, pages 7–17, 2024. ACM.
Paper doi bibtex 3 downloads @inproceedings{DBLP:conf/cain/CabralKBVE024,
author = {Raphael Cabral and
Marcos Kalinowski and
Maria Teresa Baldassarre and
Hugo Villamizar and
Tatiana Escovedo and
H{\'{e}}lio Lopes},
editor = {Jane Cleland{-}Huang and
Jan Bosch and
Henry Muccini and
Grace A. Lewis},
title = {Investigating the Impact of {SOLID} Design Principles on Machine Learning
Code Understanding},
booktitle = {Proceedings of the {IEEE/ACM} 3rd International Conference on {AI}
Engineering - Software Engineering for AI, {CAIN} 2024, Lisbon, Portugal,
April 14-15, 2024},
pages = {7--17},
publisher = {{ACM}},
year = {2024},
url = {https://doi.org/10.1145/3644815.3644957},
doi = {10.1145/3644815.3644957},
timestamp = {Sun, 19 Jan 2025 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/cain/CabralKBVE024.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads: 3
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