Understanding The Prevalence Of Code Smells In Machine Learning Projects
Welcome to our comprehensive guide on The Prevalence Of Code Smells In Machine Learning Projects. Bart van Oort (undefined), Luís Cruz (Deflt University of Technology), Maurício Aniche (Delft University of Technology), Arie van ...
Key Takeaways about The Prevalence Of Code Smells In Machine Learning Projects
- Poor quality code contributes to increasing technical debt and makes the software difficult to extend and maintain.
- Code smells
- Coding
- by Tushar Sharma At: FOSDEM 2019 https://video.fosdem.org/2019/H.2213/ml_on_code_smelling_source.webm Poor quality ...
- Learn how to design great software in 7 steps: https://arjan.codes/designguide. This video shows 7
Detailed Analysis of The Prevalence Of Code Smells In Machine Learning Projects
This video is a presentation of our scientific paper on How not to write you Authors: Hadhemi Jebnoun, Masud Rahman, Foutse Khomh, Houssem Ben Braiek Track: Technical Session:
https://www.amazon.science/publications/a-novel-approach-for-
In summary, understanding The Prevalence Of Code Smells In Machine Learning Projects gives us a better perspective.
