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Towards Platform Independent Database Modelling in Enterprise Systems

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Publication details

Title of host publicationSTAF 2016
DatePublished - 2016
Pages42-50
Number of pages9
PublisherSPRINGER
Original languageEnglish
ISBN (Print)9783319502304

Publication series

NameLecture Notes in Computer Science (LNCS)
PublisherSpringer
Volume9946

Abstract

Enterprise software systems are prevalent in many organisations, typically they are data-intensive and manage customer, sales, or other important data. When an enterprise system needs to be modernised or migrated (e.g. to the cloud) it is necessary to understand the structure of this data and how it is used. We have developed a tool-supported approach to model database structure, query patterns, and growth patterns. Compared to existing work, our tool offers increased system support and extensibility which is vital for use in industry. Standardisation and platform independence is ensured by producing models conforming to the Knowledge Discovery Metamodel and Software Metrics Metamodel.

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© Springer-Verlag, 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

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