Abstract interpretation using TDGs

  • Laurent Mauborgne
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 864)


This paper intends to give an efficient way of implementing abstract interpretations. The idea is to use a good symbolic representation of boolean functions, TDGs, a refinement of Binary Decision Diagrams. A general way of using this representation in abstract interpretation is given, in particular we examine the possibility of encoding higher order functions into TDGs. Moreover, this representation is used to design a widening operator based on the size of the objects represented, so that abstract interpretations will not fail due to insufficient memory. This approach is illustrated on strictness analysis of higher-order functions, showing a great increase of efficiency.


Abstract interpretation BDD Strictness analysis Higher order Practical implementation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Laurent Mauborgne
    • 1
  1. 1.LIENSÉcole Normale SupérieureParis cedex 05France

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