We present a type inference system for FL based on an operational, rather than a denotational, formulation of types. The essential elements of the system are a type language based on regular trees and a type inference logic that implements an abstract interpretation of the operational semantics of FL. We use a non-standard approach to type inference because our requirements|using type information in the optimization of functional programs|dier substantially from those of other type systems.
Type inference and type reconstruction derive static types for program elements that have no static...
AbstractThe Hindley/Milner discipline for polymorphic type inference in functional programming langu...
Static and dynamic type systems have well-known strengths and weaknesses, and each is better suited ...
technical reportStatic inference involves the compile-time analysis of programs, either with a view ...
We present a simple and powerful type inference method for dynamically typed languages where no type...
We propose a novel type inference algorithm for a dependently-typed functional language. The novel f...
International Workshop on Smalltalk TechnologiesInternational audienceDynamically typed languages pr...
So far type information for programs written in untyped object-oriented languages equipped with inhe...
Although dynamically typed languages allow developers to be more productive in writing source code, ...
Dynamic typing is a program analysis targeted at removing runtime tagging and untagging operations i...
Dynamically typed languages lack information about the types of variables in the source code. Develo...
Static and dynamic type systems have well-known strengths and weaknesses. Gradual typing provides th...
Static and dynamic type systems have well-known strengths and weaknesses. Gradual typing provides th...
These notes give a compact overview of established core type systems and of their fundamental proper...
Type inference is a key component of modern statically typed programming languages. It allows progra...
Type inference and type reconstruction derive static types for program elements that have no static...
AbstractThe Hindley/Milner discipline for polymorphic type inference in functional programming langu...
Static and dynamic type systems have well-known strengths and weaknesses, and each is better suited ...
technical reportStatic inference involves the compile-time analysis of programs, either with a view ...
We present a simple and powerful type inference method for dynamically typed languages where no type...
We propose a novel type inference algorithm for a dependently-typed functional language. The novel f...
International Workshop on Smalltalk TechnologiesInternational audienceDynamically typed languages pr...
So far type information for programs written in untyped object-oriented languages equipped with inhe...
Although dynamically typed languages allow developers to be more productive in writing source code, ...
Dynamic typing is a program analysis targeted at removing runtime tagging and untagging operations i...
Dynamically typed languages lack information about the types of variables in the source code. Develo...
Static and dynamic type systems have well-known strengths and weaknesses. Gradual typing provides th...
Static and dynamic type systems have well-known strengths and weaknesses. Gradual typing provides th...
These notes give a compact overview of established core type systems and of their fundamental proper...
Type inference is a key component of modern statically typed programming languages. It allows progra...
Type inference and type reconstruction derive static types for program elements that have no static...
AbstractThe Hindley/Milner discipline for polymorphic type inference in functional programming langu...
Static and dynamic type systems have well-known strengths and weaknesses, and each is better suited ...