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Transformo: a tool for data transformation using SPL techniques

  • David Romero-Organvidez [1] ; José Miguel Horcas [2] ; María Teresa Gómez-López [1] Árbol académico ; David Benavides [1] Árbol académico
    1. [1] Universidad de Sevilla

      Universidad de Sevilla

      Sevilla, España

    2. [2] Universidad de Málaga

      Universidad de Málaga

      Málaga, España

  • Localización: Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023) / coord. por Amador Durán Toro Árbol académico, 2023
  • Idioma: español
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  • Resumen
    • Software modernization often involves complex data migration projects, which can result in resource loss and delays. Data migration typically requires ETL (Extraction, Transformation, and Load) operations, but there is limited literature on reusing data migration artifacts to reduce complexity. This paper introduces a tool that employs software product line techniques in data migration projects, specifically in the data transformation stage, to systematize artifact reuse. The proposed solution enables the automatic creation of scripts through configuration techniques, streamlining the data transformation process. This tool's feasibility is demonstrated in web information systems modernization, where data is migrated between Drupal and WordPress portals. Various migration scripts are generated by selecting different features, showcasing the method's versatility. This innovative tool is the first to utilize a complete stack of software product line techniques, enabling the reuse of artifacts for data migration. This tool opens up new opportunities for further applications of software product line techniques in data migration projects across various domains.


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