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Symbolic Production Grammars in LSCs Testing

机译:LSC测试中的象征性生产语法

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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.
机译:我们介绍LCT_(SG),一种LSC(实时序列图)一致性测试系统,该系统将LSC和符号语法作为输入并执行自动化LSC仿真以进行一致性测试。无上下文上下文的符号语法用于系统地枚举LSC的连续输入,其中引入符号终端和域以隐藏具有共同句法结构以及类似预期系统行为的不同输入的复杂性。我们的符号语法允许将符号终端作为生产规则的参数进行传递,从而在符号终端上扩展了具有上下文敏感度的无上下文语法。可以沿着模拟动态收集和处理符号终端上的约束,以正确分解其符号域以进行分支测试。 LCT_(SG)系统还提供状态转换图或故障跟踪,以证明一致性测试结果的合理性。证明结果可用于发展符号语法以完善测试生成。

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