Deriving Numerical Abstract Domains via Principal Component Analysis

  • Gianluca Amato
  • Maurizio Parton
  • Francesca Scozzari
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6337)


We propose a new technique for developing ad-hoc numerical abstract domains by means of statistical analysis. We apply Principal Component Analysis to partial execution traces of programs, to find out a “best basis” in the vector space of program variables. This basis may be used to specialize numerical abstract domains, in order to enhance the precision of the analysis. As an example, we apply our technique to interval analysis of simple imperative programs.


Principal Component Analysis Program Variable Execution Trace Abstract Domain Abstract Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Gianluca Amato
    • 1
  • Maurizio Parton
    • 1
  • Francesca Scozzari
    • 1
  1. 1.Dipartimento di ScienzeUniversità di Chieti-Pescara 

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