Towards Platform Independent Database Modelling in Enterprise Systems

Martyn Holland Ellison; Radu Constantin Calinescu; Richard Freeman Paige

Towards Platform Independent Database Modelling in Enterprise Systems

Martyn Holland Ellison, Radu Constantin Calinescu, Richard Freeman Paige

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	STAF 2016
Subtitle of host publication	Software Technologies: Applications and Foundations
Publisher	Springer
Pages	42-50
Number of pages	9
ISBN (Print)	9783319502304
Publication status	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Publisher	Springer
Volume	9946

Bibliographical note

© 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

Access to Document

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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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Cite this

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title = "Towards Platform Independent Database Modelling in Enterprise Systems",

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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Towards Platform Independent Database Modelling in Enterprise Systems. / Ellison, Martyn Holland; Calinescu, Radu Constantin ; Paige, Richard Freeman.
STAF 2016: Software Technologies: Applications and Foundations. Springer, 2016. p. 42-50 (Lecture Notes in Computer Science (LNCS); Vol. 9946).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Calinescu, Radu Constantin

AU - Paige, Richard Freeman

N1 - © 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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N2 - 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.

AB - 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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