Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the omission of the occurs-check) and increased expressivity. Note that cyclic terms can provide a very efficient representation of grammars and other useful objects. Unfortunately, the use of infinite rational trees has problems. For instance, many of the built-in and library predicates are ill-defined for such trees and need to be supplemented by run-time checks whose cost may be significant. Moreover, some widely-used program analysis and manipulation techniques axe only correct for those parts of programs working over finite trees. It is thus important to obtain, automatically, a knowledge of those program variables (the finite variables) that, at the program points of interest, will always be bound to finite terms. For these reasons, we propose here a new data-flow analysis that captures such information. We present a parametric domain where a simple component for recording finite variables is coupled with a generic domain (the parameter of the construction) providing sharing information. The sharing domain is abstractly specified so as to guarantee the correctness of the combined domain and the generality of the approach.
Finite-Tree Analysis for Constraint Logic-Based Languages
GORI, ROBERTA;
2001-01-01
Abstract
Logic languages based on the theory of rational, possibly infinite, trees have much appeal in that rational trees allow for faster unification (due to the omission of the occurs-check) and increased expressivity. Note that cyclic terms can provide a very efficient representation of grammars and other useful objects. Unfortunately, the use of infinite rational trees has problems. For instance, many of the built-in and library predicates are ill-defined for such trees and need to be supplemented by run-time checks whose cost may be significant. Moreover, some widely-used program analysis and manipulation techniques axe only correct for those parts of programs working over finite trees. It is thus important to obtain, automatically, a knowledge of those program variables (the finite variables) that, at the program points of interest, will always be bound to finite terms. For these reasons, we propose here a new data-flow analysis that captures such information. We present a parametric domain where a simple component for recording finite variables is coupled with a generic domain (the parameter of the construction) providing sharing information. The sharing domain is abstractly specified so as to guarantee the correctness of the combined domain and the generality of the approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
