How is Life for a Table in an Evolving Relational Schema? Birth, Death and Everything in Between

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Authors: Apostolos V. Zarras, Ioannis Skoulis, Panos Vassiliadis

Tags: 2015, conceptual modeling

In this paper, we study the version history of eight databases that are part of larger open source projects, and report on our observations on how evolution-related properties, like the possibility of deletion, or the amount of updates that a table undergoes, are related to observable table properties like the number of attributes or the time of birth of a table. Our findings indicate that (i) most tables live quiet lives; (ii) few top-changers adhere to a profile of long duration, early birth, medium schema size at birth; (iii) tables with large schemata or long duration are quite unlikely to be removed, and, (iv) early periods of the database life demonstrate a higher level of evolutionary activity compared to later ones.

Read the full paper here: https://link.springer.com/chapter/10.1007/978-3-319-25264-3_34