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Data abstractions for data bases

Michael Hammer

Open publisher page 17 citations

Abstract

The concept of abstract data types has emerged from programming language research as a device to encourage and facilitate structured and modular programming [1]. It separates the abstraction of a data object from its implementation. The user of an abstract data type only concerns himself with the behavioral semantics of the type: what meaningful operations can be applied to objects of the type; the internal representation and structure of the type is unknown to him. In this way, irrelevent detail is suppressed and meaningfulness of programs enhanced.

About this research paper

What this paper is about

The concept of abstract data types has emerged from programming language research as a device to encourage and facilitate structured and modular programming [1]. It separates the abstraction of a data object from its implementation. The user of an abstract data type only concerns himself with the behavioral semantics of the type: what meaningful operations can be applied to objects of the type; the internal representation and structure of the type is unknown to him. In this way, irrelevent detail is suppressed and meaningfulness of programs enhanced.

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OpenAlex reports 17 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The concept of abstract data types has emerged from programming language research as a device to encourage and facilitate structured and modular programming [1]. It separates the abstraction of a data object from its implementation. The user of an abstract data type only concerns himself with the behavioral semantics of the type: what meaningful operations can be applied to objects of the type; the internal representation and structure of the type is unknown to him. In this way, irrelevent detail is suppressed and meaningfulness of programs enhanced.

Key concepts: Computer science, Abstract data type, Programming language, Data type, Semantics (computer science), Abstraction, Modular design, Type safety

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