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Computer Science - Database Management & Information Retrieval | Advanced Information Systems Engineering - 25th International Conference, CAiSE 2013, Valencia,

Advanced Information Systems Engineering

25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013, Proceedings

Salinesi, Camille, Norrie, Moira C., Pastor, Oscar (Eds.)

2013, XXXVIII, 706 p. 258 illus.

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  • Proceedings of the 25th International Conference on Advanced Information Systems Engineering

This book constitutes the refereed proceedings of the 25th International Conference on Advanced Information Systems Engineering, CAiSE 2013, held in Valencia, Spain, in June 2013.

The 44 revised full papers were carefully reviewed and selected from 162 submissions. The contributions have been grouped into the following topical sections: services; awareness; business process execution; products; business process modelling; modelling languages and meta models; requirements engineering 1; enterprise architecture; information systems evolution; mining and predicting; datawarehouses and business intelligence; requirements engineering 2; knowledge and know-how; information systems quality; and human factors.

Content Level » Research

Keywords » MDA - SOA - business intelligence - business process management - enterprise architecture - enterprise modeling - information systems - model-driven architecture - process mining - requirements engineering - service-oriented architectures - software engineering

Related subjects » Artificial Intelligence - Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications - Software Engineering

Table of contents 

Services.- Awareness.- Business Process Execution.- Products.- Business Process Modelling.- Modelling Languages and Meta Models.- Requirements Engineering 1.- Enterprise Architecture.- Information Systems Evolution.- Mining and Predicting.- Datawarehouses and Business Intelligence.- Requirements Engineering 2.- Knowledge and Know-How.- Information Systems Quality.- Human Factors.

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