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Abstract Interpretation of Higher Order Functions using Concrete Data Structures (Summary)

  • Conference paper
Functional Programming, Glasgow 1992

Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

An implementation of abstract interpretation is outlined, which uses techniques taken from work on semantics of sequential languages. For a familiar example, analysis is much faster than with the frontiers method.

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References

  1. G. Berry and P.-L. Curien, Theory and practice of sequential algorithms: the kernel of the applicative language CDS, Algebraic Methods in semantics, 35–87, Cambridge University Press (1985).

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  2. G. L. Burn, C. L. Hankin and S. Abramsky. Strictness Analysis for Higher-Order Functions. Science of Computer Programming, 7, 1986.

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  3. John Hughes and A. B. Ferguson, A Loop-detecting Interpreter for Lazy, Higher-order Programs, Functional Programming, Glasgow 1992, Springer-Verlag, Workshops in Computing (1992).

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  4. Sebastian Hunt, Frontiers And Open Sets in Abstract Interpretation.

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  5. Sebastian Hunt, personal communication.

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  6. Julian Seward, presentation, Strictness Day, May 1992, Strathaven.

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  7. J. H. Young, The Theory and Practice of Semantic Program Analysis for Higher-Order Functional Programming Languages. Yale University Research Report YALEU/DCS/RR-669.

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  8. Phil Wadler, Strictness Analysis on Non-Flat Domains (by Abstract Interpretation over Finite Domains).

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© 1993 British Computer Society

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Ferguson, A.B., Hughes, J. (1993). Abstract Interpretation of Higher Order Functions using Concrete Data Structures (Summary). In: Launchbury, J., Sansom, P. (eds) Functional Programming, Glasgow 1992. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3215-8_5

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  • DOI: https://doi.org/10.1007/978-1-4471-3215-8_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19820-8

  • Online ISBN: 978-1-4471-3215-8

  • eBook Packages: Springer Book Archive

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