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Business Process Model Driven Approach for Automatic Use Case Model Generation

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Business Modeling and Software Design (BMSD 2020)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 391))

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Abstract

Requirement elicitation is an essential step for establishing software requirements. They define the outcomes upon which software functionality is produced. However, several studies have shown majority of errors found in software functionality are directly linked to requirement elicitation. To address, this paper proposes a structured approach to derive system requirements automatically using business process models. It employs a systematic mechanism to improve business process models and transformation method to generate requirement models. It employs 26 defined heuristics rules that maps and controls transformation. The proposed approach is evaluated using seven case studies. Results show the viability to generate software requirements from business process models, and the automatic generation of rich UML-based use case diagram. The proposed approach achieves more precise and valid requirement specifications and was able to generate additional valid use case model features compared to other competing approaches.

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Authors and Affiliations

  1. Computer Science, Birzeit University, Birzeit, Palestine

    Salam Turkman & Adel Taweel

Authors
  1. Salam Turkman
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  2. Adel Taweel
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Correspondence to Adel Taweel .

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Editors and Affiliations

  1. Faculty of Information Sciences, University of Library Studies and Information Technologies, Sofia, Bulgaria

    Boris Shishkov

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Turkman, S., Taweel, A. (2020). Business Process Model Driven Approach for Automatic Use Case Model Generation. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2020. Lecture Notes in Business Information Processing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-52306-0_8

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  • DOI: https://doi.org/10.1007/978-3-030-52306-0_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52305-3

  • Online ISBN: 978-3-030-52306-0

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