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ACM International Conference Proceeding Series
Data Quality; Model Driven Web Engineering; Requirements Engineering; Requirements Modeling; Web Engineering Business intelligence; Business Process; Capturing data; Data quality; Development process; MDA(model driven architecture); Meta model; Model-driven; Requirements Modeling; Software requirements; UML profiles; WEB application; Web application development; Web engineering; Data reduction; Engineering; Management science; Requirements engineering; Software architecture; XML; World Wide Web
Capturing Data Quality Requirements for Web Applications by means of DQ-WebRE
The number and complexity of Web applications which are part of Business Intelligence (BI) applications had grown exponentially in recent years. The amount of data used in these applications has consequently also grown. Managing data with an acceptable level of quality is paramount to success in any organizational business process. In order to raise and maintain the adequate levels of Data Quality (DQ) it is indispensable for Web applications to be able to satisfy specific DQ requirements. In order to achieve this goal, DQ requirements should be captured and introduced into the development process together with the other software requirements needed in the applications. However, in the field of Web application development, and to the best of our knowledge, no proposals exist with regard to the way in which to manage specific DQ software requirements. This paper considers the MDA (Model Driven Architecture) approach and, principally, the benefits provided by Model Driven Web Engineering (MDWE) in order to put forward a proposal for two artifacts. These two artifacts are a metamodel and a UML profile for the management of Data Quality Software Requirements for Web Applications (DQ-WebRE). Copyright 2011 ACM.
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