2019/10/01 by Isaac Oscar Gariano, Gariano, Isaac Oscar, Marco Servetto +1
Computer Science · #Advanced Software Engineering Methodologies #FOS: Computer and information sciences #Logic, programming, and type systems #Model-Driven Software Engineering Techniques #Programming Languages (cs.PL) #cs.PL
paper · pdf · doi:10.48550/arxiv.1910.00709
Presented at Workshop on Meta-Programming Techniques and Reflection (META'19)
arxiv created 2019/10/01 · openalex publication_date 2019/10/01 · arxiv updated 2019/10/03 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
Multi-methods are a straightforward extension of traditional (single) dynamic dispatch, which is the core of most object oriented languages. With multi-methods, a method call will select an appropriate implementation based on the values of multiple arguments, and not just the first/receiver. Language support for both single and multiple dispatch is typically designed to be used in conjunction with other object oriented features, in particular classes and inheritance. But are these extra features really necessary? Mμl is a dynamic language designed to be as simple as possible but still supporting flexible abstraction and polymorphism. Mμl provides only two forms of abstraction: (object) identities and (multi) methods. In Mμl method calls are dispatched based on the identity of arguments, as well as what other methods are defined on them. In order to keep Mμls design simple, when multiple method definitions are applicable, the most recently defined one is chosen, not the most specific (as is conventional with dynamic dispatch). In this paper we show how by defining methods at runtime, we obtain much of the power of classes and meta object protocols, in particular the ability to dynamically modify the state and behaviour of 'classes' of objects.