<?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%">Couto, Marco</style></author><author><style face="normal" font="default" size="100%">Cunha, Jácome</style></author><author><style face="normal" font="default" size="100%">Fernandes, João Paulo</style></author><author><style face="normal" font="default" size="100%">Rui Pereira</style></author><author><style face="normal" font="default" size="100%">Saraiva, João Alexandre</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Static Energy Consumption Analysis in Variability Systems</style></title><secondary-title><style face="normal" font="default" size="100%">2nd Green in Software Engineering Workshop  (GInSEng’16), an event of the 4th International Conference on ICT for Sustainability (ICT4S)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year><pub-dates><date><style  face="normal" font="default" size="100%">29 Aug. - 1 Sep.</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://docentes.fct.unl.pt/sites/default/files/jmc-cunha/files/ginseng_2016_paper_1-2.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Amsterdam, The Netherlands</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;Energy consumption is becoming an evident concern to software developers. This is even more notorious due to the propagation of mobile devices. Such propagation of devices is also influencing software development: a software system is now developed has a set of similar products sharing common features.&lt;br /&gt;
In this short paper, we describe our methodology aim at static and accurately predict the energy consumption of software products in such variability systems, typically called software product lines.&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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