SAT-Based Combinational and Sequential Dependency Computation

  • Mathias Soeken
  • Pascal Raiola
  • Baruch Sterin
  • Bernd Becker
  • Giovanni De Micheli
  • Matthias Sauer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10028)


We present an algorithm for computing both functional dependency and unateness of combinational and sequential Boolean functions represented as logic networks. The algorithm uses SAT-based techniques from Combinational Equivalence Checking (CEC) and Automatic Test Pattern Generation (ATPG) to compute the dependency matrix of multi-output Boolean functions. Additionally, the classical dependency definitions are extended to sequential functions and a fast approximation is presented to efficiently yield a sequential dependency matrix. Extensive experiments show the applicability of the methods and the improved robustness compared to existing approaches.



The authors wish to thank Robert Brayton and Alan Mishchenko for many helpful discussions. This research was partially financed by H2020-ERC-2014-ADG 669354 CyberCare and the Baden-Württemberg Stiftung gGmbH Stuttgart within the scope of its IT security research programme.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Mathias Soeken
    • 1
  • Pascal Raiola
    • 2
  • Baruch Sterin
    • 3
  • Bernd Becker
    • 2
  • Giovanni De Micheli
    • 1
  • Matthias Sauer
    • 2
  1. 1.EPFLLausanneSwitzerland
  2. 2.University of FreiburgFreiburg im BreisgauGermany
  3. 3.UC BerkeleyBerkeleyUSA

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