On handling data in automata learning: considerations from the CONNECT perspective

  • Authors:
  • Falk Howar;Bengt Jonsson;Maik Merten;Bernhard Steffen;Sofia Cassel

  • Affiliations:
  • Technical University Dortmund, Programming Systems, Germany;Department of Computer Systems, Uppsala University, Sweden;Department of Computer Systems, Uppsala University, Sweden;Department of Computer Systems, Uppsala University, Sweden;Technical University Dortmund, Programming Systems, Germany

  • Venue:
  • ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part II
  • Year:
  • 2010

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Abstract

Most communication with real-life systems involves data values being relevant to the communication context and thus influencing the observable behavior of the communication endpoints. When applying methods from the realm of automata learning, it is necessary to handle such data-occurrences. In this paper, we consider how the techniques of automata learning can be adapted to the problem of learning interaction models in which data parameters are an essential element. Especially, we will focus on how test-drivers for real-word systems can be generated automatically. Our main contribution is an analysis of (1) the requirements on information contained in models produced by the learning enabler in the CONNECT project and (2) the resulting preconditions for generating test-drivers automatically.