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BOAM: A Business Oriented Identification Approach of Microservices Within Legacy Systems

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Service-Oriented Computing (ICSOC 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15405))

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Abstract

The microservices architecture (MSA) is highly popular for its scalability, deployability in the Cloud and compatibility with DevOps practices. Many companies are migrating their legacy systems to an MSA. They need to rely on automatic approaches to ease their migration while taking into account their business features. Existing migration approaches to an MSA often focus on technical features but neglect functional ones, which are essential for appropriate MS granularity. To address this lack, we introduce BOAM (Business Oriented identification Approach of Microservices), a hybrid approach that focuses on business decomposition by leveraging not only technical features, such as source code, but also business oriented artifacts, especially use cases. BOAM thus leverages static and semantic analyses of source code using nanoentities (data, operations or artifacts), followed by a semantic analysis of use cases to capture business features. For that, BOAM leans on machine learning, particularly clustering methods, to identify microservices through technical (source code) and business (use cases) artifacts. The goal is to ensure that identified microservices are technically sound and meet specific business features of the company. Our evaluation shows that BOAM outperforms other literature approaches to identify microservices, achieving an average precision of 74.51% and recall of 77.93%.

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Notes

  1. 1.

    https://github.com/Brahim-Mahmoudi/BOAM_Repo/tree/main/BOAMWorkshops/UseCaseGeneration/UseCaseGeneration.jpg.

  2. 2.

    https://github.com/mmihaltz/word2vec-GoogleNews-vectors.

  3. 3.

    https://github.com/Brahim-Mahmoudi/BOAM_Repo.git.

  4. 4.

    https://github.com/Brahim-Mahmoudi/BOAM_Repo/tree/main/BOAMWorkshops/GroundTruth.

  5. 5.

    https://github.com/Brahim-Mahmoudi/BOAM_Repo/tree/main/BOAMWorkshops/UseCaseGeneration.

  6. 6.

    https://github.com/miguelfbrito/microservice-identification.

  7. 7.

    https://github.com/Brahim-Mahmoudi/BOAM_Repo.git.

  8. 8.

    https://www.compiere.com/products/capabilities/.

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Acknowledgment

We sincerely thank the professor for providing the student systems that greatly enhanced our dataset.

Author information

Authors and Affiliations

  1. École de Technologie Supérieure, Montréal, QC, Canada

    Brahim Mahmoudi, Imen Trabelsi & Naouel Moha

  2. Laboratoire des Sciences du Numérique de Nantes, Nantes, France

    Dalila Tamzalit

  3. Concordia University, Montréal, QC, Canada

    Yann-Gaël Guéhéneuc

Authors
  1. Brahim Mahmoudi
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  2. Imen Trabelsi
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  3. Dalila Tamzalit
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  4. Naouel Moha
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  5. Yann-Gaël Guéhéneuc
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Corresponding author

Correspondence to Brahim Mahmoudi .

Editor information

Editors and Affiliations

  1. Telecom SudParis, Évry, France

    Walid Gaaloul

  2. Macquarie University, Sydney, NSW, Australia

    Michael Sheng

  3. Rochester Institute of Technology, Rochester, NY, USA

    Qi Yu

  4. LAAS-CNRS, Toulouse, France

    Sami Yangui

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Mahmoudi, B., Trabelsi, I., Tamzalit, D., Moha, N., Guéhéneuc, YG. (2025). BOAM: A Business Oriented Identification Approach of Microservices Within Legacy Systems. In: Gaaloul, W., Sheng, M., Yu, Q., Yangui, S. (eds) Service-Oriented Computing. ICSOC 2024. Lecture Notes in Computer Science, vol 15405. Springer, Singapore. https://doi.org/10.1007/978-981-96-0808-9_10

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  • DOI: https://doi.org/10.1007/978-981-96-0808-9_10

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