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Toward a Corpus Study of the Dynamic Gradual Type
March 11, 2025 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Dibri Nsofor, Ben Greenman
arXiv ID
2503.08928
Category
cs.PL: Programming Languages
Cross-listed
cs.HC,
cs.SE
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Gradually-typed languages feature a dynamic type that supports implicit coercions, greatly weakening the type system but making types easier to adopt. Understanding how developers use this dynamic type is a critical question for the design of useful and usable type systems. This paper reports on an in-progress corpus study of the dynamic type in Python, targeting 221 GitHub projects that use the mypy type checker. The study reveals eight patterns-of-use for the dynamic type, which have implications for future refinements of the mypy type system and for tool support to encourage precise type annotations.
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