<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cunha, Jácome</style></author><author><style face="normal" font="default" size="100%">Fernandes, João P.</style></author><author><style face="normal" font="default" size="100%">Ribeiro, Hugo</style></author><author><style face="normal" font="default" size="100%">Saraiva, João</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards a Catalog of Spreadsheet Smells</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 12th International Conference on Computational Science and Its Applications - Volume Part IV</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">ICCSA'12</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">code smells</style></keyword><keyword><style  face="normal" font="default" size="100%">EUSES corpus</style></keyword><keyword><style  face="normal" font="default" size="100%">Spreadsheets</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://docentes.fct.unl.pt/sites/default/files/jmc-cunha/files/iccsa-sq12.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Berlin, Heidelberg</style></pub-location><pages><style face="normal" font="default" size="100%">202–216</style></pages><isbn><style face="normal" font="default" size="100%">978-3-642-31127-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Spreadsheets are considered to be the most widely used programming language in the world, and reports have shown that 90% of real-world spreadsheets contain errors. In this work, we try to identify spreadsheet smells, a concept adapted from software, which consists of a surface indication that usually corresponds to a deeper problem. Our smells have been integrated in a tool, and were computed for a large spreadsheet repository. Finally, the analysis of the results we obtained led to the refinement of our initial catalog.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;n/a&lt;/p&gt;
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