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What is Evolutionary Data Modeling

Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Methodologies to iteratively and incrementally model database systems so that schema and applications evolve in a parallel way.
Published in Chapter:
Evolutionary Database: State of the Art and Issues
Vincenzo Deufemia (Università di Salerno, Italy), Giuseppe Polese (Università di Salerno, Italy), and Mario Vacca (Università di Salerno, Italy)
DOI: 10.4018/978-1-60566-242-8.ch012
Abstract
Waterfall methodologies can poorly cope with changes, making maintenance considerably an expensive process. For this reason, incremental and iterative methodologies were introduced (Larman & Basili, 2003). They view system development as a step-by-step process, with the introduction of new functionalities to meet user needs. The main problem arising in both paradigms is the complexity in facing changes. Therefore, an increased automated support in this task would result in a reduction of efforts and costs, especially in incremental methodologies, because it would make them more systematic.
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Interrogative Agents for Data Modeling
Methodologies to iteratively and incrementally model database systems so that schema and applications evolve in a parallel way.
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