<?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%">Rui Abreu</style></author><author><style face="normal" font="default" size="100%">Jácome Cunha</style></author><author><style face="normal" font="default" size="100%">João Paulo Fernandes</style></author><author><style face="normal" font="default" size="100%">Pedro Martins</style></author><author><style face="normal" font="default" size="100%">Perez, Alexandre</style></author><author><style face="normal" font="default" size="100%">João Alexandre Saraiva</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Smelling faults in spreadsheets</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution</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%">September</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://haslab.uminho.pt/sites/default/files/ruimaranhao/files/icsme14.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Vitoria, Canada</style></pub-location><volume><style face="normal" font="default" size="100%">14</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Despite being staggeringly error prone, spreadsheets are a highly flexible programming environment that is widely used in industry. In fact, spreadsheets are widely adopted for decision making, and decisions taken upon wrong (spreadsheet-based) assumptions may have serious economical impacts on businesses, among other consequences. This paper proposes a technique to automatically pinpoint potential faults in spreadsheets. It combines a catalog of spreadsheet smells that provide a first indication of a potential fault, with a generic spectrum-based fault localization strategy in order to improve (in terms of accuracy and false positive rate) on these initial results. Our technique has been implemented in a tool which helps users detecting faults.To validate the proposed technique, we consider a wellknown and well-documented catalog of faulty spreadsheets. Our experiments yield two main results: we were able to distinguish between smells that can point to faulty cells from smells and those that are not capable of doing so; and we provide a technique capable of detecting a significant number of errors: two thirds of the cells labeled as faulty are in fact (documented) errors.&lt;/p&gt;
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