Abstract data types with shared operations

  • Authors:
  • Kasper Osterbye

  • Affiliations:
  • Stanford University, Stanford, CA

  • Venue:
  • ACM SIGPLAN Notices
  • Year:
  • 1988

Quantified Score

Hi-index 0.00

Visualization

Abstract

It is argued that the concept of abstract datatypes can be extended in a way that allows for operations to be shared between two (or more datatypes), and that this will often give a better and more natural way of structuring programs. Shared operations can access the representation of more than one abstract datatype.