LD2SD: Linked Data Driven Software Development

نویسندگان

  • Aftab Iqbal
  • Oana Ureche
  • Michael Hausenblas
  • Giovanni Tummarello
چکیده

In this paper we introduce Linked Data Driven Software Development (LD2SD), a light-weight Semantic Web methodology to turn software artefacts such as data from version control systems, bug tracking tools and source code into linked data. Once available as linked data, the related information from different sources is made explicit, allowing for a uniform query and integration. We show the application of LD2SD using a real-world software project as the reference dataset and discuss the added value of LD2SD compared to existing technologies.

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تاریخ انتشار 2009