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Test case generation for enterprise business services based on enterprise architecture design

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Abstract

Based on the service orientation, a business service represents a coherent functionality that offers added value to the environment, regardless of how it is realized internally. The enterprise business service is a crucial section of enterprise architecture. Although many leading-edge enterprise architecture frameworks describe architecture in levels of abstraction, they still cannot provide an accurate syntactic and semantic description. If test cases are generated based on accurate descriptions of enterprise business services, the subsequent revisions and changes can be reduced. This research has one main contribution: it starts from the enterprise level, gains benefits from the enriched descriptions for enterprise business service, continues to generate appropriate syntactic and semantic models, and generates test cases from the formal model. In the suggested method, the goals of the enterprise will initially be extracted based on The Open Group Architecture Framework. Then, it will be subjected to syntactic modeling based on the ArchiMate language. Next, the semantics are added in terms of the Web Service Modeling Ontology framework and are manually formalized in B language by applying the defined transformation rules. Finally, the test coverage set will be examined on the formal model to generate test cases. The suggested method has been implemented in the marketing department of a petrochemical company. The results indicate the validity and efficiency of the method.

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References

  1. Zhou Z, Zhi Q, Morisaki S, Yamamoto S (2020) A systematic literature review on enterprise architecture visualization methodologies. IEEE Access 8:96404–96427. https://doi.org/10.1109/ACCESS.2020.2995850

    Article  Google Scholar 

  2. Sharma S, Raja L, Bhatt DP (2020) Role of ontology in software testing. J Inf Optim Sci 41:641–649. https://doi.org/10.1080/02522667.2020.1733196

    Article  Google Scholar 

  3. The Open Group (2022) The TOGAF® Standard, Version 9.2 Overview 1. Available at: https://www.opengroup.org/togaf.

  4. The Open Group (2022) Archimate® 3.1 Specification. The Open Group 206. Retrieved from https://pubs.opengroup.org/architecture/togaf9-doc/arch/

  5. Habibi E, Mirian-Hosseinabadi SH (2022) Generating test as a web service (TaaWS) through a method-based attribute grammar. Int J Softw Tools Technol Transfer. https://doi.org/10.1007/s10009-022-00649-z

    Article  Google Scholar 

  6. Zakeriyan A, Khosravi R, Safari H, Khamespanah E (2021) Towards automatic test case generation for industrial software systems based on functional specifications. In: Hojjat H, Massink M (eds) Fundamentals of software engineering. FSEN 2021. Lecture notes in computer science(), vol 12818. Springer, Cham

    Google Scholar 

  7. W. Li (2021) Design and Implementation of Software Testing Platform for SOA-Based System,In: 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), pp. 1094–1098. https://doi.org/10.1109/ICCCS52626.2021.9449221

  8. Leal L, Montecchi L, Ceccarelli A Martins E (2020) Using metamodels to improve model-based testing of service orchestrations, In: 2020 IEEE 25th Pacific Rim International Symposium on Dependable Computing (PRDC), pp 130–139. https://doi.org/10.1109/PRDC50213.2020.00024. Orchestrations-2020

  9. Bouafia K, Molnár B (2019) Analysis approach for enterprise information systems architecture based on hypergraph to aligned business process requirements. Procedia Comput Sci 164:19–24. https://doi.org/10.1016/j.procs.2019.12.149

    Article  Google Scholar 

  10. Berziša S, Bravos G, Gonzalez TC et al (2015) Capability driven development: an approach to designing digital enterprises. Bus Inf Syst Eng 57:15–25. https://doi.org/10.1007/s12599-014-0362-0

    Article  Google Scholar 

  11. Hinkelmann K, Laurenzi E, Martin A, Thönssen B (2018) Ontology-based metamodeling. In: Studies in systems, Decision and control Vol 141, Springer, pp 177–194. https://doi.org/10.1007/978-3-319-74322-6_12

  12. Babkin EA, Ponomarev NO (2017) Analysis of the consistency of enterprise architecture models using formal verification methods. Business Informatics 3:30–40

    Article  Google Scholar 

  13. Caetano A, Antunes G, Pombinho J, Bakhshandeh M, Granjo J, Borbinha J, da Silva MM (2017) Representation and analysis of enterprise models with semantic techniques: an application to ArchiMate, e3value and business model canvas. Knowl Inf Syst 50:315–346. https://doi.org/10.1007/s10115-016-0933-0

    Article  Google Scholar 

  14. Hinkelmann K, Laurenzi E, Lammel B, Kurjakovic S, Woitsch R (2016) A semantically-enhanced modelling environment for business process as a service. In: Proceedings - 4th International Conference on Enterprise Systems: Advances in Enterprise Systems, ES 2016, pp 143–152 (Institute of Electrical and Electronics Engineers Inc., 2017). https://doi.org/10.1109/ES.2016.25

  15. Hinkelmann K, Gerber A, Karagiannis D, Thoenssen B, Van Der Merwe A, Woitsch R (2016) A new paradigm for the continuous alignment of business and IT: combining enterprise architecture modelling and enterprise ontology. Comput Ind 79:77–86. https://doi.org/10.1016/j.compind.2015.07.009

    Article  Google Scholar 

  16. de Bruijn J, Bussler C, Domingue J, et al. (2022) Web Service Modeling Ontology (WSMO). World Wide Web Consortium (W3C). Available at: https://www.w3.org/Submission/WSMO/. Accessed 2 Jan 2022.

  17. Abrial JR (1996) The B-book: assigning programs to meanings. The Cambridge University Press

    Book  MATH  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mehdi Rahmanian & Mehran Mohsenzadeh

  2. Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran

    Ramin Nassiri & Reza Ravanmehr

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  1. Mehdi Rahmanian
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Correspondence to Ramin Nassiri.

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Rahmanian, M., Nassiri, R., Mohsenzadeh, M. et al. Test case generation for enterprise business services based on enterprise architecture design. J Supercomput 79, 1877–1907 (2023). https://doi.org/10.1007/s11227-022-04742-7

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