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Text Mining is used to create new variables that improve the predictive power of the models. The final model is chosen based on best fit to separate training and validation data sets and the ability to explain the relationship among variables. Model robustness is determined by testing it on a new dataset extracted from the SF repository. The results indicate that end-user involvement, project age, functionality, usage, project management techniques, project type and team communication methods have a significant impact on the development of OSS projects.<\/p>","DOI":"10.4018\/jismd.2011100102","type":"journal-article","created":{"date-parts":[[2011,10,19]],"date-time":"2011-10-19T12:29:25Z","timestamp":1319027365000},"page":"27-48","source":"Crossref","is-referenced-by-count":0,"title":["Predicting OSS Development Success"],"prefix":"10.4018","volume":"2","author":[{"given":"Uzma","family":"Raja","sequence":"first","affiliation":[{"name":"University of Alabama, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marietta J.","family":"Tretter","sequence":"additional","affiliation":[{"name":"Texas A&M University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jismd.2011100102-0","doi-asserted-by":"publisher","DOI":"10.1145\/69586.358135"},{"key":"jismd.2011100102-1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.44.4.433"},{"key":"jismd.2011100102-2","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.1989.559768"},{"key":"jismd.2011100102-3","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.1050.0463"},{"key":"jismd.2011100102-4","doi-asserted-by":"crossref","DOI":"10.1002\/0471725153","author":"D. 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