<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Crowston, Kevin</style></author><author><style face="normal" font="default" size="100%">Annabi, Hala</style></author><author><style face="normal" font="default" size="100%">Howison, James</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Defining Open Source Software project success</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 24th International Conference on Information Systems (ICIS)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">FLOSS</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">http://crowston.syr.edu/sites/crowston.syr.edu/files/icis2003success.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Seattle, WA, December</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Information systems success is one of the most widely used dependent variables in information systems research. In this paper, we identify a range of measures that can be used to assess the success of Open Source Software (OSS) projects. We identify measures based on a review of the literature, a consideration of the OSS development process and an analysis of the opinions of OSS developers. For each measure, we provide examples of how they might be used in a study of OSS development.</style></abstract></record></records></xml>