Python is a popular dynamic programming language, evidenced by its ranking as the
second most commonly used language on GitHub. However, its dynamic type system can …

Type inference for dynamic programming languages such as Python is an important yet
challenging task. Static type inference techniques can precisely infer variables with enough …

Python's dynamic typing system offers flexibility and expressiveness but can lead to type-
related errors, prompting the need for automated type inference to enhance type hinting …

Gradual typing allows programs to enjoy the benefits of both static typing and dynamic
typing. While it is often desirable to migrate a program from more dynamically-typed to more …

We explore an approach to type-directed program synthesis rooted in constraint-based type
inference techniques. By doing this, we aim to more efficiently synthesize polymorphic code …

Variation is ubiquitous in software. Many applications can benefit from making this variation
explicit, then manipulating and computing with it directly---a technique we call" variational …

We characterize the relation between generalized algebraic datatypes (GADTs) with pattern
matching on their constructors one hand, and generalized algebraic co-datatypes …

A classic example of the power of generalized algebraic datatypes (GADTs) to verify a
delicate implementation is the type-indexed expression AST. This functional pearl refreshes …

The choice calculus is a simple metalanguage and associated theory that has been
successfully applied to several problems of interest to the feature-oriented software …

Providing effective error messages in response to type errors continues to be a challenge in
functional programming. Type error messages often point to bogus error locations or lack …