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Analyzing the Implicit Computational Complexity of object-oriented programs

Authors Jean-Yves Marion, Romain Pechoux

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LIPIcs.FSTTCS.2008.1763.pdf
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Keywords
  • Implicit computational complexity
  • object-oriented programs
  • sup-interpretation
  • resource upper bounds

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Abstract

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.

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Jean-Yves Marion and Romain Pechoux. Analyzing the Implicit Computational Complexity of object-oriented programs. In IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science. Leibniz International Proceedings in Informatics (LIPIcs), Volume 2, pp. 316-327, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/LIPIcs.FSTTCS.2008.1763

Author Details

Jean-Yves Marion
Romain Pechoux
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