Model Checking Via ΓCFA

  • Matthew Might
  • Benjamin Chambers
  • Olin Shivers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4349)


We present and discuss techniques for performing and improving the model-checking of higher-order, functional programs based upon abstract interpretation [4]. We use continuation-passing-style conversion to produce an abstractable state machine, and then utilize abstract garbage collection and abstract counting [9] to indirectly prune false branches in the abstract state-to-state transition graph. In the process, we generalize abstract garbage collection to conditional garbage collection; that is, we collect values which an ordinary reaching-based collector would have deemed live when it is provable that such values will never be referenced. In addition, we enhance abstract counting, and then exploit it to more precisely evaluate conditions in the abstract.


Abstract interpretation static analysis abstract counting abstract garbage collection ΓCFA higher-order languages 


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© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Matthew Might
  • Benjamin Chambers
  • Olin Shivers

There are no affiliations available

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