On understanding types, data abstraction, and polymorphism

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On understanding types, data abstraction, and polymorphism (1985)

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by Luca Cardelli , Peter Wegner

Venue:	ACM COMPUTING SURVEYS
Citations:	845 - 13 self

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@ARTICLE{Cardelli85onunderstanding,
    author = {Luca Cardelli and Peter Wegner},
    title = {On understanding types, data abstraction, and polymorphism},
    journal = {ACM COMPUTING SURVEYS},
    year = {1985},
    volume = {17},
    number = {4},
    pages = {471--522}
}

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Abstract

Our objective is to understand the notion of type in programming languages, present a model of typed, polymorphic programming languages that reflects recent research in type theory, and examine the relevance of recent research to the design of practical programming languages. Object-oriented languages provide both a framework and a motivation for exploring the interaction among the concepts of type, data abstraction, and polymorphism, since they extend the notion of type to data abstraction and since type inheritance is an important form of polymorphism. We develop a λ-calculus-based model for type systems that allows us to explore these interactions in a simple setting, unencumbered by complexities of production programming languages. The evolution of languages from untyped universes to monomorphic and then polymorphic type systems is reviewed. Mechanisms for polymorphism such as overloading, coercion, subtyping, and parameterization are examined. A unifying framework for polymorphic type systems is developed in terms of the typed λ-calculus augmented to include binding of types by quantification as well as binding of values by abstraction. The typed λ-calculus is augmented by universal quantification to model generic functions with type parameters, existential quantification and packaging (information hiding) to model abstract data types, and

Keyphrases

data abstraction understanding type polymorphic type system typed calculus recent research simple setting untyped universe unifying framework universal quantification generic function type parameter information hiding practical programming language production programming language important form object-oriented language type inheritance polymorphic programming language calculus-based model abstract data type type theory existential quantification type system

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