Passer à la navigation principale Passer à la recherche Passer au contenu principal

Homing Sequence Derivation with Quantified Boolean Satisfiability

  • Kuan Hua Tu
  • , Hung En Wang
  • , Jie Hong R. Jiang
  • , Natalia Kushik
  • , Nina Yevtushenko
  • National Taiwan University
  • Ivannikov Institute for System Programming of the RAS

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

Résumé

Homing sequence derivation for nondeterministic finite state machines (NFSMs) has important applications in software/hardware system testing and verification. Unlike prior methods based on explicit tree-based search, in this article we formulate the derivation of a preset/adaptive homing sequence in terms of quantified Boolean formula (QBF) solving. This formulation exploits compact circuit representation of NFSMs and QBF encoding of the existence condition of homing sequence for effective computation. The implicit circuit representation effectively avoids explicit state enumeration, and can be more scalable. Different encoding schemes and QBF solvers are evaluated for their suitability for the homing sequence derivation. Experiments on various computation methods and benchmarks show the generality and feasibility of a proposed approach.

langue originaleAnglais
Pages (de - à)696-711
Nombre de pages16
journalIEEE Transactions on Computers
Volume71
Numéro de publication3
Les DOIs
étatPublié - 1 mars 2022

Empreinte digitale

Examiner les sujets de recherche de « Homing Sequence Derivation with Quantified Boolean Satisfiability ». Ensemble, ils forment une empreinte digitale unique.

Contient cette citation