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Process models play a fundamental role in the Business Process Management lifecycle and are crucial for assessing the robustness of proposed algorithms and conducting benchmarks among different tools. However, public models are limited as they expose strategic knowledge. While some researchers developed public repositories of imperative models, there remains a lack of diverse, publicly available multi-perspective declarative models. Our work aims to bridge this gap by providing a tool for generating synthetic MP-Declare process models. We leverage Large Language Models to generate these models, ensuring coverage of diverse aspects and enhancing the resource pool for the BPM community.

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Terpsichora: A Tool to Generate Synthetic MP-Declare Process Models

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Wesley da Silva Santos,
  • Juliana Rezende Coutinho,
  • Fernanda Baião,
  • Georges Miranda Spyrides,
  • Hélio Côrtes Vieira Lopes

摘要

Process models play a fundamental role in the Business Process Management lifecycle and are crucial for assessing the robustness of proposed algorithms and conducting benchmarks among different tools. However, public models are limited as they expose strategic knowledge. While some researchers developed public repositories of imperative models, there remains a lack of diverse, publicly available multi-perspective declarative models. Our work aims to bridge this gap by providing a tool for generating synthetic MP-Declare process models. We leverage Large Language Models to generate these models, ensuring coverage of diverse aspects and enhancing the resource pool for the BPM community.