Abstract
Database quality must be maintained during the entire database life span that spans over decades. Quality is typically an issue during development and installation. Later the database system, e.g. the database structure is going to be changed from time to time. This change can be forecasted on the basis of a facilitation methodology. Change management can be based on separation of concern by levels and on abstraction layering techniques. We propose an approach to change-aware database development. The approach is based on an category-problem-cause model that separates change requests into categories which allow a more specific treatment of changes. These specific changes are based on techniques, e.g. restructuring techniques. Category-cause-solution pattern are derived for systematic treatment of changes.
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Jannaschk, K., Jaakkola, H., Thalheim, B. (2015). Technologies for Databases Change Management. In: Bassiliades, N., et al. New Trends in Database and Information Systems II. Advances in Intelligent Systems and Computing, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-10518-5_21
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DOI: https://doi.org/10.1007/978-3-319-10518-5_21
Publisher Name: Springer, Cham
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