Towards a Framework for Analytics-driven Domain-specific Mashup Environments

نویسنده

  • Michael Aram
چکیده

Mashup environments enable end users to directly engage in the design process of the information system. Traditional mashup technology offers users generic components and therefore targets technically skilled people. Recent research investigates domain-specific mashup platforms with the aim to be easier to understand and use. We present a proposal for research towards a generic framework that supports the design of domain-specific mashup environments through native analytics.

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تاریخ انتشار 2013