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Evolutionary Database: State of the Art and Issues

Evolutionary Database: State of the Art and Issues

Vincenzo Deufemia, Giuseppe Polese, Mario Vacca
Copyright: © 2009 |Pages: 8
ISBN13: 9781605662428|ISBN10: 1605662429|EISBN13: 9781605662435
DOI: 10.4018/978-1-60566-242-8.ch012
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MLA

Deufemia, Vincenzo, et al. "Evolutionary Database: State of the Art and Issues." Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, edited by Viviana E. Ferraggine, et al., IGI Global, 2009, pp. 102-109. https://doi.org/10.4018/978-1-60566-242-8.ch012

APA

Deufemia, V., Polese, G., & Vacca, M. (2009). Evolutionary Database: State of the Art and Issues. In V. Ferraggine, J. Doorn, & L. Rivero (Eds.), Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends (pp. 102-109). IGI Global. https://doi.org/10.4018/978-1-60566-242-8.ch012

Chicago

Deufemia, Vincenzo, Giuseppe Polese, and Mario Vacca. "Evolutionary Database: State of the Art and Issues." In Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, edited by Viviana E. Ferraggine, Jorge Horacio Doorn, and Laura C. Rivero, 102-109. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-242-8.ch012

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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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