On real reward testing

Wei Zhong Yang, Yu Xin Deng

Research output: Contribution to journalArticlepeer-review

Abstract

We extend the traditional nonnegative reward testing with negative rewards. In this new testing framework, may preorder and must preorder are the inverse of each other. More surprisingly, it turns out that the real reward must testing is no more powerful than the nonnegative reward testing, at least for finite processes. In order to prove that result, we exploit an important property of failure simulation about the inclusion of the testing outcomes between two related processes.

Original languageEnglish
Pages (from-to)479-484
Number of pages6
JournalJournal of Shanghai Jiaotong University (Science)
Volume16
Issue number4
DOIs
StatePublished - Aug 2011
Externally publishedYes

Keywords

  • Failure simulation
  • Nonnegative reward testing
  • Probabilistic processes
  • Real reward testing

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