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Symbolic Automata for Static Specification Mining

  • Hila Peleg
  • Sharon Shoham
  • Eran Yahav
  • Hongseok Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7935)

Abstract

We present a formal framework for static specification mining. The main idea is to represent partial temporal specifications as symbolic automata – automata where transitions may be labeled by variables, and a variable can be substituted by a letter, a word, or a regular language. Using symbolic automata, we construct an abstract domain for static specification mining, capturing both the partialness of a specification and the precision of a specification. We show interesting relationships between lattice operations of this domain and common operators for manipulating partial temporal specifications, such as building a more informative specification by consolidating two partial specifications.

Keywords

Regular Language Abstract Domain Symbolic Transition Symbolic Language Code Snippet 
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 2013

Authors and Affiliations

  • Hila Peleg
    • 1
  • Sharon Shoham
    • 2
  • Eran Yahav
    • 3
  • Hongseok Yang
    • 4
  1. 1.Tel Aviv UniversityIsrael
  2. 2.Tel Aviv-Yaffo Academic CollegeIsrael
  3. 3.TechnionIsrael
  4. 4.University of OxfordUK

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