
A sup-interpretation is a tool which provides upper bounds on the size of the values computed by the function symbols of a program. Sup-interpretations have shown their interest to deal with the complexity of first order functional programs. This paper is an attempt to adapt the framework of sup-interpretations to a fragment of object-oriented programs, including loop and while constructs and methods with side effects. We give a criterion, called brotherly criterion, which uses the notion of sup-interpretation to ensure that each brotherly program computes objects whose size is polynomially bounded by the inputs sizes. Moreover we give some heuristics in order to compute the sup-interpretation of a given method.
Implicit computational complexity, sup-interpretation, resource upper bounds, [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], 004, object-oriented programs, ddc: ddc:004
Implicit computational complexity, sup-interpretation, resource upper bounds, [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], 004, object-oriented programs, ddc: ddc:004
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