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Program transformations in a denotational setting

Published: 01 July 1985 Publication History

Abstract

Program transformations are frequently performed by optimizing compilers, and the correctness of applying them usually depends on data flow information. For language-to-same-language transformations, it is shown how a denotational setting can be useful for validating such program transformations.
Strong equivalence is obtained for transformations that exploit information from a class of forward data flow analyses, whereas only weak equivalence is obtained for transformations that exploit information from a class of backward data flow analyses. To obtain strong equivalence, both the original and the transformed program must be data flow analysed, but consideration of a transformation-exploiting liveness of variables indicates that a more satisfactory approach may be possible.

References

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AHO, A. V., ANO ULLMAN, J.D. Principles o{ Compiler Design. Addison-Wesley, London, 1977.
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COUSOT, P., ANO COUSOT, R. Systematic design of program analysis frameworks. In Proceedings 6th ACM Symposium on Principles of Programming Languages (1979), ACM, New York, 269- 282.
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COUSOT, P. Semantic foundations of program analysis. In Program Flow Analysis: Theory and Applications, S. S. Muchnick and N. D. Jones, Eds., Prentice-Hall, Englewood Cliffs, N.J., 1981, 303-342.
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GERHART, S. L. Correctness-preserving program transformations. In Proceedings 2nd ACM Symposium on Principles of Programming Languages (1975), ACM, New York, 54-66.
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HUET, G., ANO LANG, B. Proving and applying program transformations expressed with secondorder patterns. Acta In{. 11 (1978), 31-55.
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LOVEMAN, D.B. Program improvement by source-to-source transformations. J. ACM 24 (1977), 121-145.
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MILNE, R., AND STRACHEY, C. A Theory of Programming Language Semantics. Chapman and Hall, London, 1976.
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NIELSON, F. A denotational framework for data flow analysis. Acta Inf. 18 (1982), 265-287.
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Jacek Gibert

Data flow analysis is a practical tool often used for transforming and optimizing programs during compilation. This theoretical paper proposes a formal mathematical framework that allows the validation of such program transformations. A toy language is defined to illustrate the abstract way of specifying both forward and backward data flow information by means of “collecting” and “future” semantics, respectively. Two results are achieved: (1) a strong equivalence between original and transformed programs for the collecting semantics; and (2) a weak equivalence between original and transformed programs for the future semantics. The paper attributes the weakness of the second result to an inherent insufficiency of present denotational approaches. For example, a strong equivalence can only be achieved for the future semantics if both the original and the transformed programs are data flow analyzed, contrary to what is done in practice. It remains to generalized denotational methods to overcome this problem. This paper is well presented and can easily be read by all those interested in the design of smart compilers or denotational semantics of programming languages. However, the first group may find that many semantical points, which have been addressed rigorously by this paper, are not worth taking up in a practical compiler design context, as efficiency issues have not been considered at all.

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Information

Published In

cover image ACM Transactions on Programming Languages and Systems
ACM Transactions on Programming Languages and Systems  Volume 7, Issue 3
July 1985
134 pages
ISSN:0164-0925
EISSN:1558-4593
DOI:10.1145/3916
Issue’s Table of Contents
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

New York, NY, United States

Publication History

Published: 01 July 1985
Published in TOPLAS Volume 7, Issue 3

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  • (2022)Automated Discrimination of Cough in Audio Recordings: A Scoping ReviewFrontiers in Signal Processing10.3389/frsip.2022.7596842Online publication date: 3-Jun-2022
  • (2019)Enforcing globally dependent flow policies in message-passing systemsJournal of Computer Languages10.1016/j.cola.2019.10090454(100904)Online publication date: Oct-2019
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  • (2015)Hoare Logic for Disjunctive Information FlowProgramming Languages with Applications to Biology and Security10.1007/978-3-319-25527-9_6(47-65)Online publication date: 20-Nov-2015
  • (2012)Inverse-limit and topological aspects of abstract interpretationTheoretical Computer Science10.1016/j.tcs.2012.01.002430(23-42)Online publication date: 1-Apr-2012
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  • (2008) Proving the correctness of compiler optimisations based on a global analysis: a study of strictness analysis † Journal of Functional Programming10.1017/S09567968000015816:1(75-109)Online publication date: 7-Nov-2008
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