<?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%">Espada, Patrícia</style></author><author><style face="normal" font="default" size="100%">Goulão, Miguel</style></author><author><style face="normal" font="default" size="100%">Araújo, João</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Measuring Complexity and Completeness of KAOS Goal Models</style></title><secondary-title><style face="normal" font="default" size="100%">International Workshop on Empirical Requirements Engineering (EmpiRE 2011), at the 19th International Requirements Engineering Conference (RE 2011)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">30 Aug.</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1109/EmpiRE.2011.6046252</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">https://docentes.fct.unl.pt/sites/default/files/mgoul/files/espadagoulaoaraujo2011empire.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE Computer Society</style></publisher><pub-location><style face="normal" font="default" size="100%">Trento, Italy</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;KAOS is one of the most well-known goal-oriented requirements engineering approaches. Nevertheless, building large KAOS models sometimes results in incomplete and/or complex requirements models that are difficult to understand and maintain. These shortcomings often lead to an increase in costs of product development and evolution. Therefore, for large-scale systems, the ability to manage the complexity and completeness of KAOS models is essential. In this paper, we propose a metrics suite for supporting the quantitative assessment of KAOS models complexity and completeness, in order to support their early identification. We apply the metrics to an example taken from a health club system specification.&lt;/p&gt;
</style></abstract><notes><style face="normal" font="default" size="100%">&lt;p&gt;&lt;a href=&quot;http://dx.doi.org/10.1109/EmpiRE.2011.6046252&quot;&gt;http://dx.doi.org/10.1109/EmpiRE.2011.6046252&lt;/a&gt;&lt;/p&gt;
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