Intra - Class Threshold Selection in Face Space Using Set Estimation Technique
نویسندگان
چکیده
This chapter discusses the growth of open source software projects in healthcare. It proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects, and it develops a systematic method for classifying projects based on their success potential. Using data from Sourceforge, an open source software development portal, we find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system, and programming language are significant predictors of an OSS project’s success categorization. We discuss research and application implications and suggest future research directions. DOI: 10.4018/978-1-61350-456-7.ch1.11
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تاریخ انتشار 2016