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Unboxing Default Argument Breaking Changes in 1 + 2 data science libraries
João Eduardo Montandon
, Luciana Lourdes Silva
, Cristiano Politowski
, Daniel Prates
, Arthur de Brito Bonifácio
,
Ghizlane El Boussaidi
École de technologie supérieure
IMAGIN - laboratory of Innovation and engineering systeMs for Automation and diGitalisatIoN
Q-ETS
Universidade Federal de Minas Gerais
Instituto Federal de Minas Gerais
Ontario Tech University
Research output
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Keyphrases
Breaking Changes
100%
Client Application
25%
Data Science
100%
Data Scientist
50%
Data-driven Decision Making
25%
Default Values
50%
Maintainability
25%
NumPy
50%
Potential Impact
50%
Practice Data
25%
Python Library
25%
Science Libraries
100%
Scikit-learn
25%
Software Engineering Practices
25%
Specific Types
25%
Third-party Data
25%
Third-party Libraries
25%
Unboxing
100%
Computer Science
Client Application
50%
Data Scientist
100%
Library Science
100%
Maintainability
50%
Modern Software
100%
Python
50%
Service Company
50%
Software Development
50%