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.
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding [link]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}
}

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