Symbolic Production Grammars in LSCs Testing

Part of the Studies in Computational Intelligence book series (SCI, volume 429)

Abstract

We present LCT SG , an LSC (Live Sequence Chart) consistency testing system, which takes LSCs and symbolic grammars as inputs and performs an automated LSC simulation for consistency testing. A symbolic context-free grammar is used to systematically enumerate continuous inputs for LSCs, where symbolic terminals and domains are introduced to hide the complexity of different inputs which have common syntactic structures as well as similar expected system behaviors. Our symbolic grammars allow a symbolic terminal to be passed as a parameter of a production rule, thus extending context-free grammars with context-sensitivity on symbolic terminals. Constraints on symbolic terminals may be collected and processed dynamically along the simulation to properly decompose their symbolic domains for branched testing. The LCT SG system further provides either a state transition graph or a failure trace to justify the consistency testing results. The justification result may be used to evolve the symbolic grammar for refined test generation.

Keywords

Domain Decomposition Production Rule Consistency Testing State Transition Diagram Symbolic Terminal 
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 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of Nebraska at OmahaOmahaUSA

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