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Journals ACM Letters on Programming Languages and... Volume 1 Issue 1

Data-flow analysis is a basis for program optimization and parallelizing transformations. The mechanism of passing reference parameters at call sites generates interprocedural aliases which complicate this analysis. Solutions have been developed for efficiently computing interprocedural aliases. However, factoring the computed aliases into data-flow information has been mostly overlooked, although improper factoring results in imprecise (conservative) data-flow information. In this document, we describe a mechanism which, in factoring in interprocedural aliases, computes data-flow information more precisely and with less time and space overhead than previous approaches.

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Precise and efficient integration of interprocedural alias information into data-flow analysis

Burke, Michael; Choi, Jong-Deok
ACM Letters on Programming Languages and Systems (LOPLAS) , Volume 1 (1)
Association for Computing Machinery – Mar 1, 1992

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