AspectML: A Polymorphic Aspect-Oriented Functional Programming Language

Loading...
Thumbnail Image

Related Collections

Degree type

Discipline

Subject

design
languages
security
theory
aspect-oriented programming
functional languages
parametric and ad-hoc polymorphism
type systems
type inference

Funder

Grant number

License

Copyright date

Distributor

Related resources

Author

Dantas, Daniel
Walker, David

Contributor

Abstract

This paper defines AspectML, a typed functional, aspect-oriented programming language. The main contribution of AspectML is the seamless integration of polymorphism, run-time type analysis and aspect-oriented programming language features. In particular, AspectML allows programmers to define type-safe polymorphic advice using pointcuts constructed from a collection of polymorphic join points. AspectML also comes equipped with a type inference algorithm that conservatively extends Hindley-Milner type inference. To support first-class polymorphic point-cut designators, a crucial feature for developing aspect-oriented profiling or logging libraries, the algorithm blends the conventional Hindley-Milner type inference algorithm with a simple form of local type inference. We give our language operational meaning via a type-directed translation into an expressive type-safe intermediate language. Many complexities of the source language are eliminated in this translation, leading to a modular specification of its semantics. One of the novelties of the intermediate language is the definition of polymorphic labels for marking control-flow points. When a set of labels is assembled as a pointcut, the type of each label is an instance of the type of the pointcut.

Advisor

Date Range for Data Collection (Start Date)

Date Range for Data Collection (End Date)

Digital Object Identifier

Series name and number

Publication date

2008-05-01

Journal title

Volume number

Issue number

Publisher

Publisher DOI

Journal Issues

Comments

Postprint version. Published in ACM Transactions on Programming and Languages, Volume 30, Issue 3, Article No. 14, May 2008. Publisher URL: http://doi.acm.org/10.1145/1353445.1353448

Recommended citation

Collection