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DICER 2.0: A New Model Checker for Data-Flow Errors of Concurrent Software Systems

Author

Listed:
  • Dongming Xiang

    (The School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China)

  • Fang Zhao

    (The MoE Key Lab of Embedded System & Service Computing, Tongji University, Shanghai 201804, China)

  • Yaping Liu

    (The School of Transportation Management, Zhejiang Institute of Communications, Hangzhou 310018, China)

Abstract

Petri nets are widely used to model concurrent software systems. Currently, there are many different kinds of Petri net tools that can analyze system properties such as deadlocks, reachability and liveness. However, most tools are not suitable to analyze data-flow errors of concurrent systems because they do not formalize data information and lack efficient computing methods for analyzing data-flows. Especially when a concurrent system has so many concurrent data operations, these Petri net tools easily suffer from the state–space explosion problem and pseudo-states. To alleviate these problems, we develop a new model checker DICER 2.0. By using this tool, we can model the control-flows and data-flows of concurrent software systems. Moreover, the errors of data inconsistency can be detected based on the unfolding techniques, and some model-checking can be done via the guard-driven reachability graph (GRG). Furthermore, some case studies and experiments are done to show the effectiveness and advantage of our tool.

Suggested Citation

  • Dongming Xiang & Fang Zhao & Yaping Liu, 2021. "DICER 2.0: A New Model Checker for Data-Flow Errors of Concurrent Software Systems," Mathematics, MDPI, vol. 9(9), pages 1-20, April.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:9:p:966-:d:543342
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    References listed on IDEAS

    as
    1. Wu, Daohua & Zheng, Wei, 2018. "Formal model-based quantitative safety analysis using timed Coloured Petri Nets," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 62-79.
    2. Sherry X. Sun & J. Leon Zhao & Jay F. Nunamaker & Olivia R. Liu Sheng, 2006. "Formulating the Data-Flow Perspective for Business Process Management," Information Systems Research, INFORMS, vol. 17(4), pages 374-391, December.
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