A Complexity Preserving Transformation from Jinja Bytecode to Rewrite Systems

Computer Science – Programming Languages

Scientific paper

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33 pages

Scientific paper

We revisit known transformations from Jinja bytecode to rewrite systems from the viewpoint of runtime complexity. Suitably generalising the construction proposed in the literature, we define an alternative representation of Jinja bytecode (JBC) executions as computation graphs from which we obtain a representation of JBC executions as rewrite systems. We show that the transformation from JBC programs to rewrite systems is sound, that is, an infinite execution gives rise to an infinite derivation in the rewrite system. Moreover, we establish that the transformation is complexity preserving, that is, the complexity of the obtained rewrite system forms an upper bound on the complexity of the JBC program.

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