logseq/logseq/.recycle/pages_@Automated Clustering of Metamodel Repositories.md

tags:: GOAL_Model-Classification, TECHNIQUE_K-NEAREST-NEIGHBORS, notion, #readingnotes date:: 2016 publisher:: Springer International Publishing place:: Cham isbn:: 978-3-319-39695-8 978-3-319-39696-5 title:: @Automated Clustering of Metamodel Repositories book-title:: Advanced Information Systems Engineering pages:: 342-358 volume:: 9694 item-type:: bookSection access-date:: 2022-05-10T08:08:32Z original-title:: Automated Clustering of Metamodel Repositories language:: en url:: https://link.springer.com/10.1007/978-3-319-39696-5_21 authors:: Francesco Basciani, Juri Di Rocco, Davide Di Ruscio, Ludovico Iovino, Alfonso Pierantonio library-catalog:: DOI.org (Crossref) links:: Local library, Web library

• Abstract
  • Over the last years, several model repositories have been proposed in response to the need of the MDE community for advanced systems supporting the reuse of modeling artifacts. Modelers can interact with MDE repositories with different intents ranging from merely repository browsing, to searching specific artifacts satisfying precise requirements. The organization and browsing facilities provided by current repositories is limited since they do not produce structured overviews of the contained artifacts, and the categorization mechanisms (if any) are based on manual activities. When dealing with large numbers of modeling artifacts, such limitations increase the effort related to both managing and reusing artifacts stored in model repositories.
• Attachments
  • Notion
  • Basciani et al_2016_Automated Clustering of Metamodel Repositories.pdf {{zotero-imported-file WLW2T8BS, "Basciani et al_2016_Automated Clustering of Metamodel Repositories.pdf"}}

• Highlights

  • ((632b2fc3-5398-4a1c-bc53-4bc332384cca))
    • important #clustering