<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Riboira, André</style></author><author><style face="normal" font="default" size="100%">Rui Abreu</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">END-A Lightweight Algorithm to Estimate the Number of Defects in Software</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">October</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/955913_1.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">University of Minho</style></publisher><pub-location><style face="normal" font="default" size="100%">Braga, Portugal</style></pub-location><pages><style face="normal" font="default" size="100%">8</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Defect precision provides information on how many defects a given software application appears to have. Existing approaches are usually based on time consuming model-based techniques. A viable alternative is the previously presented Abacus algorithm, which is based on Bayesian fault diagnosis.This paper presents a novel alternative approach - coined End that uses the same input and produces the same output as the Abacus algorithm, but is considerably more time ecient. An experiment was conducted to compare both the accuracy and performance of these two algorithms. The End algorithm presented the same accuracy as the Abacus algorithm, but outperformed it in the majority of executions.&lt;/p&gt;
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