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Electronic Notes in Theoretical Computer Science
Article . 2009 . Peer-reviewed
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Using CLP Simplifications to Improve Java Bytecode Termination Analysis

Authors: SPOTO, Nicola Fausto; L. Lu; F. Mesnard;

Using CLP Simplifications to Improve Java Bytecode Termination Analysis

Abstract

In an earlier work, a termination analyzer for Java bytecode was developed that translates a Java bytecode program into a constraint logic program and then proves the termination of the latter. An efficiency bottleneck of the termination analyzer is the construction of a proof of termination for the generated constraint logic program, which is often very large in size. In this paper, a set of program simplifications are presented that reduce the size of the constraint logic program without changing its termination behavior. These simplifications remove program clauses and/or predicate arguments that do not affect the termination behavior of the constraint logic program. Their effect is to reduce significantly the time needed to build the termination proof for the constraint logic program, as our experiments show.

Country
Italy
Related Organizations
Keywords

termination, Static analysis; abstract interpretation; termination analysis; Java; constraint logic programming, static analysis, Java bytecode, [INFO] Computer Science [cs], Java, Theoretical Computer Science, Computer Science(all)

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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
Green
gold