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HECATAEUS: Regulating schema evolution

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dc.contributor.author Papastefanatos, G en
dc.contributor.author Vassiliadis, P en
dc.contributor.author Simitsis, A en
dc.contributor.author Vassiliou, Y en
dc.date.accessioned 2014-03-01T02:46:49Z
dc.date.available 2014-03-01T02:46:49Z
dc.date.issued 2010 en
dc.identifier.issn 10844627 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32873
dc.subject Open Source Software en
dc.subject Relational Database en
dc.subject Schema Evolution en
dc.subject.other AS graph en
dc.subject.other Database schemas en
dc.subject.other Default behavior en
dc.subject.other Default values en
dc.subject.other Graph theoretic approach en
dc.subject.other Like queries en
dc.subject.other Metric suites en
dc.subject.other Open-source softwares en
dc.subject.other Relational Database en
dc.subject.other Schema evolution en
dc.subject.other Database systems en
dc.title HECATAEUS: Regulating schema evolution en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICDE.2010.5447778 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICDE.2010.5447778 en
heal.identifier.secondary 5447778 en
heal.publicationDate 2010 en
heal.abstract HECATAEUS is an open-source software tool for enabling impact prediction, what-if analysis, and regulation of relational database schema evolution. We follow a graph theoretic approach and represent database schemas and database constructs, like queries and views, as graphs. Our tool enables the user to create hypothetical evolution events and examine their impact over the overall graph before these are actually enforced on it. It also allows definition of rules for regulating the impact of evolution via (a) default values for all the nodes of the graph and (b) simple annotations for nodes deviating from the default behavior. Finally, HECATAEUS includes a metric suite for evaluating the impact of evolution events and detecting crucial and vulnerable parts of the system. © 2010 IEEE. en
heal.journalName Proceedings - International Conference on Data Engineering en
dc.identifier.doi 10.1109/ICDE.2010.5447778 en
dc.identifier.spage 1181 en
dc.identifier.epage 1184 en


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