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An interpreter for Backus's formal functional programming language

Published: 21 February 1989 Publication History

Abstract

Backus's formal functional programming (FFP) language [1] is an extension of his functional programming (FP) language [1] that allows the user to define functional forms. Like FP, it has the property that there are to be no side effects during execution. Unlike FP, it has the advantage that there is no distinction between data and functions: data may be applied (interpreted as a function) to data and functions may operate on functions (interpreted as data). This extends the expressive power of FP by giving the user the ability to create and modify functions and functional forms at will. Furthermore, FFP contains a predefined function APPLY which turns a sequence of two elements into a function application. Such a function would not be possible in FP because of the fundamental distinction between functions and data in FP.

References

[1]
Backus, John. Can programming be liberated from the von Neumann style? A functional style and its algebra of programs. Communications of the ACM 21, 8 (Aug. 1978), pp. 613--641.
[2]
Lang, Joseph E. Grammars for FFP. SIGPLAN Notices 23, 10 (Oct. 1988), pp. 186--190.
[3]
Williams, John H. Notes on the FP style of functional programming. In Functional programming and its applications, J. Darlington, P. Herderson and D. A. Tumer, Eds., Cambridge University Press, Cambridge, 1982, pp. 73--101.
[4]
Baden, Scott. Berkeley FP User's Manual, Rev. In ULTRIX-32 Supplementary Documents, Vol. II, Digital Equipment Corporation, Merrimack, New Hampshire, 1984, pp. 2-359--2-391.
[5]
Sudkamp, Thomas A. Semantics of Lazy BAFL. Thesis, Wright State University, 1983.

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cover image ACM Conferences
CSC '89: Proceedings of the 17th conference on ACM Annual Computer Science Conference
February 1989
121 pages
ISBN:0897912993
DOI:10.1145/75427
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 21 February 1989

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