<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Silveira, André da</style></author><author><style face="normal" font="default" size="100%">Xavier, Bruno</style></author><author><style face="normal" font="default" size="100%">Teixeira, Fábio Gonçalves</style></author><author><style face="normal" font="default" size="100%">Lacerda, Guilherme</style></author><author><style face="normal" font="default" size="100%">Zabadal, Jorge</style></author><author><style face="normal" font="default" size="100%">Silveira, Sidnei</style></author><author><style face="normal" font="default" size="100%">Ribeiro, Vinicius Gadis</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Agile data: automating database refactorings</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Engineering Research and Applications (IJERA)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.ijera.com/papers/Vol4_issue9/Version%203/R4903115122.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">4</style></volume><pages><style face="normal" font="default" size="100%">115 - 122</style></pages><isbn><style face="normal" font="default" size="100%">22489622</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;This paper discusses an automated approach to database change management throughout the companies’ development workflow. By using automated tools, companies can avoid common issues related to manual database deployments. This work was motivated by analyzing usual problems within organizations, mostly originated from manual interventions that may result in systems disruptions and production incidents. In addition to practices of continuous integration and continuous delivery, the current paper describes a case study in which a suggested pipeline is implemented in order to reduce the deployment times and decrease incidents due to ineffective data controlling.&lt;/p&gt;
</style></abstract><custom4><style face="normal" font="default" size="100%">NAO</style></custom4><custom5><style face="normal" font="default" size="100%">NAO</style></custom5></record></records></xml>