Inductive Programming Meets the Real World.

The article looks at how the integration of inductive programming (IP) techniques in software applications can support end users in automating complex tasks. Details are provided on the process of learning domain-specific programs from observations on how users interact with the system. Noted applic...

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Publicado en:Communications of the ACM Vol. 58; no. 11; pp. 90 - 100
Autores principales: GULWANI, SUMIT, HERNÁNDEZ-ORALLO, JOSÉ, KITZELMANN, EMANUEL, MUGGLETON, STEPHEN H., SCHMID, UTE, ZORN, BENJAMIN
Formato: Artículo
Publicado: Association for Computing Machinery Nov2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Inductive Programming Meets the Real World.
      aug:
        au:
          GULWANI, SUMIT
          HERNÁNDEZ-ORALLO, JOSÉ
          KITZELMANN, EMANUEL
          MUGGLETON, STEPHEN H.
          SCHMID, UTE
          ZORN, BENJAMIN
        affil:
          Principal researcher and research manager, programming-by-example research and engineering group, Microsoft Corp., Redmond, WA
          Reader, Universitat Politècnica de València
          Teacher, Adam-Josef-Cüppers Commercial College, Ratingen, Germany
          Professor, Department of Computing, Imperial College London, U.K.
          Professor, University of Bamberg, Germany
          Principal researcher and research co-manager, Research in Software Engineering (RiSE) group, Microsoft Research, Redmond, WA
      su:
        Inductive logic programming
        Application software
        End users (Information technology)
        Electronic spreadsheets
        Scripting languages (Computer science)
        Intelligent tutoring systems
      sug:
        subj:
          Inductive logic programming
          Application software
          End users (Information technology)
          Electronic spreadsheets
          Scripting languages (Computer science)
          Intelligent tutoring systems
      ab: The article looks at how the integration of inductive programming (IP) techniques in software applications can support end users in automating complex tasks. Details are provided on the process of learning domain-specific programs from observations on how users interact with the system. Noted applications of IP include spreadsheet tools, scripting, and intelligent program tutors.
      pubtype: Periodical
      doctype: Article
      src: R
    language: English
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