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ICFP
2004
ACM
14 years 7 months ago
Types, potency, and idempotency: why nonlinearity and amnesia make a type system work
Useful type inference must be faster than normalization. Otherwise, you could check safety conditions by running the program. We analyze the relationship between bounds on normali...
Harry G. Mairson, Peter Møller Neergaard
JFP
2007
136views more  JFP 2007»
13 years 7 months ago
Practical type inference for arbitrary-rank types
Haskell’s popularity has driven the need for ever more expressive type system features, most of which threaten the decidability and practicality of Damas-Milner type inference. ...
Simon L. Peyton Jones, Dimitrios Vytiniotis, Steph...
ICFP
2005
ACM
14 years 7 months ago
Type inference, principal typings, and let-polymorphism for first-class mixin modules
module is a programming abstraction that simultaneously generalizes -abstractions, records, and mutually recursive definitions. Although various mixin module type systems have bee...
Henning Makholm, J. B. Wells
SAC
2011
ACM
12 years 10 months ago
Type harvesting: a practical approach to obtaining typing information in dynamic programming languages
Dynamically typed programming languages are powerful tools for rapid software development. However, there are scenarios that would benefit from actual type information being avai...
Michael Haupt, Michael Perscheid, Robert Hirschfel...
SCP
2010
155views more  SCP 2010»
13 years 6 months ago
Type inference and strong static type checking for Promela
The SPIN model checker and its specification language Promela have been used extensively in industry and academia to check logical properties of distributed algorithms and protoc...
Alastair F. Donaldson, Simon J. Gay