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Conceptualizing Node.js Projects: A Graph-Oriented Technology-Specific Modeling Method

In: Advances in Information Systems Development

Author

Listed:
  • Bianca Lixandru

    (Babeș-Bolyai University)

  • Robert Andrei Buchmann

    (Babeș-Bolyai University)

  • Ana-Maria Ghiran

    (Babeș-Bolyai University)

Abstract

This paper advances our prior work in developing a modeling method for managing Node.js projects dependencies by adding a semantic analysis layer to the created models, benefitting from prior artifact-building research that makes it possible for diagrams of arbitrary semantics to be processed as RDF graphs. The purpose of models thus extends towards a knowledge-driven project management approach that handles a graph-based conceptualization of project management processes, development tasks and Node.js development resources (packages, APIs and their dependencies). With the continuous growth of the Node.js environment, managing complex projects that use this technology can be chaotic, especially when it comes to planning dependencies and module integration. The deprecation of a module can lead to serious crisis regarding various projects where that module was used; consequently, traceability of deprecation propagation becomes a key requirements in Node.js project management. The modeling method introduced in this paper provides a diagrammatic solution to managing module and API dependencies in a Node.js project. It is deployed as a modeling tool that can also generate REST API documentation and Node.js project configuration files that can be executed to install the graphically designed dependencies.

Suggested Citation

  • Bianca Lixandru & Robert Andrei Buchmann & Ana-Maria Ghiran, 2023. "Conceptualizing Node.js Projects: A Graph-Oriented Technology-Specific Modeling Method," Lecture Notes in Information Systems and Organization, in: Gheorghe Cosmin Silaghi & Robert Andrei Buchmann & Virginia Niculescu & Gabriela Czibula & Chris Bar (ed.), Advances in Information Systems Development, pages 53-72, Springer.
  • Handle: RePEc:spr:lnichp:978-3-031-32418-5_4
    DOI: 10.1007/978-3-031-32418-5_4
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