Precise Interprocedural Dataflow Analysis with Applications to
Constant Propagation
Mooly Sagiv, Thomas Reps, and Susan Horwitz
This paper concerns interprocedural dataflow-analysis problems in
which the dataflow information at a program point is represented by an
environment (i.e., a mapping from symbols to values), and the effect
of a program operation is represented by a distributive environment
transformer. We present an efficient dynamic-programming algorithm
that produces precise solutions.
The method is applied to solve precisely and efficiently two
(decidable) variants of the interprocedural constant-propagation
problem: copy constant propagation and linear constant
propagation. The former interprets program statements of the
form x := 7 and x := y. The latter also interprets
statements of the form x := 5 * y + 17.
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University of Wisconsin