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        <identifier>oai:drops-oai.dagstuhl.de:17775</identifier>
        <datestamp>2024-03-06T10:31:57Z</datestamp>
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          <dc:title>Spoofax at Oracle: Domain-Specific Language Engineering for Large-Scale Graph Analytics</dc:title>
          <dc:creator>Boukham, Houda</dc:creator>
          <dc:creator>Wachsmuth, Guido</dc:creator>
          <dc:creator>Hartman, Toine</dc:creator>
          <dc:creator>Boucherit, Hamza</dc:creator>
          <dc:creator>van Rest, Oskar</dc:creator>
          <dc:creator>Chafi, Hassan</dc:creator>
          <dc:creator>Hong, Sungpack</dc:creator>
          <dc:creator>Dwars, Martijn</dc:creator>
          <dc:creator>Delamare, Arnaud</dc:creator>
          <dc:creator>Chiadmi, Dalila</dc:creator>
          <dc:subject>language workbench</dc:subject>
          <dc:subject>domain-specific language</dc:subject>
          <dc:description>For the last decade, teams at Oracle relied on the Spoofax language workbench to develop a family of domain-specific languages for graph analytics in research projects and in product development. In this paper, we analyze the requirements for integrating language processors into large-scale graph analytics toolkits and for the development of these language processors as part of a larger product development process. We discuss how Spoofax helps to meet these requirements and point out the need for future improvements.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Houda Boukham and Guido Wachsmuth and Toine Hartman and Hamza Boucherit and Oskar van Rest and Hassan Chafi and Sungpack Hong and Martijn Dwars and Arnaud Delamare and Dalila Chiadmi</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 109, Eelco Visser Commemorative Symposium (EVCS 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.EVCS.2023.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-177756</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.EVCS.2023.5</dc:identifier>
          <dc:language>eng</dc:language>
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