Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems
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| Formato: | Recurso digital |
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Zenodo
2024
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| _version_ | 1866902216093204480 |
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| author | Ximenes, Rodrigo Santos Alves, Antonio Pedro Escovedo, Tatiana Spinola, Rodrigo Kalinowsli, Marcos |
| author_facet | Ximenes, Rodrigo Santos Alves, Antonio Pedro Escovedo, Tatiana Spinola, Rodrigo Kalinowsli, Marcos |
| contents | <p>This repository contains three main files produced for the paper 'Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems.' We make available:</p> <ul> <li>A file containing the Miro Board produced (Miro Board - Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems.pdf);</li> <li>A file containing Appendix A that complements the results from other ML life cycle stages (Appendix A - Assessing and Refining the List of Candidate Issues.pdf)</li> <li>A file containing Appendix B that presents a full table of each ML life cycle stage and its issues and descriptions (Appendix B - List of Issues Leading to Machine Learning Code Technical Debt.pdf)</li> </ul> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14173984 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems Ximenes, Rodrigo Santos Alves, Antonio Pedro Escovedo, Tatiana Spinola, Rodrigo Kalinowsli, Marcos <p>This repository contains three main files produced for the paper 'Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems.' We make available:</p> <ul> <li>A file containing the Miro Board produced (Miro Board - Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems.pdf);</li> <li>A file containing Appendix A that complements the results from other ML life cycle stages (Appendix A - Assessing and Refining the List of Candidate Issues.pdf)</li> <li>A file containing Appendix B that presents a full table of each ML life cycle stage and its issues and descriptions (Appendix B - List of Issues Leading to Machine Learning Code Technical Debt.pdf)</li> </ul> |
| title | Investigating Issues that Lead to Code Technical Debt in Machine Learning Systems |
| url | https://doi.org/10.5281/zenodo.14173984 |