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Blended Modeling Applied to the Portable Test and Stimulus Standard

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1421)


Blended modeling is an emerging trend in Model-Driven Engineering for complex systems. It enables the modeling of diverse system-related aspects through multiple editing notations seamlessly, interchangeably, and collaboratively. Blended modeling is expected to significantly improve productivity and user-experience for multiple stakeholders. Case-specific solutions providing blended modeling, to a certain extent, for domain specific languages have been provided in the last few years. Nevertheless, a generic and language-agnostic full-fledged blended modeling framework has not been proposed yet.

In this paper, we propose a comprehensive and generic blended modeling framework prototype that provides automated mechanism to generate graphical and textual notations from a given domain-specific modeling language. Moreover, it offers a flexible editor to get expert’s feedback on the mapping between graphical and textual notations. The proposed prototype is validated through a proof-of-concept on the Portable test and Stimulus Standard use-case. Our initial results indicate that the proposed framework is capable of being applied in different application scenarios and dealing with multiple domain-specific modeling standards.


  • Model-driven engineering
  • Systems engineering
  • Modeling editor
  • PSS
  • Meta-modeling
  • Blended modeling
  • Domain specific languages
  • Design verification
  • Embedded systems
  • EBNF

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This work was supported by Vinnova through the ITEA3 BUMBLE project (rn. 18006) and the Knowledge Foundation through the HERO and MoDev projects.

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Correspondence to Muhammad Waseem Anwar .

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© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Anwar, M.W., Latifaj, M., Ciccozzi, F. (2022). Blended Modeling Applied to the Portable Test and Stimulus Standard. In: Latifi, S. (eds) ITNG 2022 19th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1421. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97651-4

  • Online ISBN: 978-3-030-97652-1

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