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Article
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https://doi.org/10.1007/bfb003...
Part of book or chapter of book . 1997 . Peer-reviewed
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DBLP
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DBLP
Article . 1998
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Higher-order value flow graphs

Authors: Mossin, Christian;

Higher-order value flow graphs

Abstract

Summary: The concepts of value and control flow graphs are important for program analysis of imperative programs. An imperative value flow graph can be constructed by a single pass over the program text. No similar concepts exist for higher-order languages: we propose a method for constructing value flow graphs for typed higher-order functional languages. A higher-order value flow graph is constructed by a single pass over an explicitly typed program. By using standard methods, single-source and single-use value flow problems can be answered in linear time and all-sources-all-uses can be answered in quadratic time (in the size of the flow graph, which is equivalent to the size of the explicitly typed program). On simply typed programs, the precision of the resulting analysis is equivalent to closure analysis. In practice, it is a reasonable assumption that typed programs are only bigger than their untyped equivalent by a constant factor, hence this is an asymptotic improvement over previous algorithms. We extend the analysis to handle polymorphism, sum types and recursive types. As a consequence, the analysis can handle (explicit) dynamically typed programs. The analysis is polyvariant for polymorphic definitions.

Country
Denmark
Keywords

Theory of software, control flow graphs, dynamically typed programs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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