Abstract

this paper, we provide a precise and formal characterizationof the loss of information that leads to this incompleteness. Specifically, we establish the following characterization theorem for Mycroft's strictness analysis method and a natural generalization of his method to non-flat domains called ee-analysis: Mycroft's method will deduce a strictness property for program P iff the property is independent of any constant appearing in any evaluation of P . To prove this, we specify a small set of equations called E-axioms, that capture the information loss in Mycroft's method and develop a new proof technique called E-rewriting. E-rewriting extends the standard notion of rewriting to permit the use of reductions using E-axioms interspersed with standard reduction steps. E-axioms are a syntactic characterization of information loss and E-rewriting provides an algorithm independent proof technique for characterizing the power of analysis methods. It can be used to answer questions on completeness and incompleteness of Mycroft's method on certain natural classes of programs. Finally, the techniques developed in this paper provide a general principle for establishing similar results for other analysis methods such as those based on abstract interpretation. As a demonstration of the generality of our technique, we give a characterization theorem for another variation of Mycroft's method called dd-analysis. Categories and Subject Descriptors: D.3.1 [Programming Languages]: Formal Definitions and Theory; D.3.2 [Programming Languages]: Language Classifications---applicative languages; D.3.4 [Programming Languages]: Processors---compilers ; optimization General Terms: Languages, Theory, Measurement Additional Key Words and Phrases: Program analysis, abstract interpretation, str...

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