@conference {965,
	title = {Identifying licensing of jar archives using a code-search approach},
	booktitle = {2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)2010 7th IEEE Working Conference on Mining Software Repositories (MSR 2010)},
	year = {2010},
	pages = {151 - 160},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Cape Town, South Africa},
	abstract = {Free and open source software strongly promotes the reuse of source code. Some open source Java components/libraries are distributed as jar archives only containing the bytecode and some additional information. For whoever wanting to integrate this jar in her own project, it is important to determine the license(s) of the code from which the jar archive was produced, as this affects the way that such component can be used. This paper proposes an automatic approach to determine the license of jar archives, combining the use of a code-search engine with the automatic classification of licenses contained in textual flies enclosed in the jar. Results of an empirical study performed on 37 jars - from 17 different systems - indicate that this approach is able to successfully infer the jar licenses in over 95\% of the cases, but that in many cases the license in textual flies may differ from the one of the classes contained in the jar.},
	keywords = {apache, bytecode, classification, eclipse, google code, jar, java, licenses, source code},
	isbn = {978-1-4244-6802-7},
	doi = {10.1109/MSR.2010.5463282},
	attachments = {https://flosshub.org/sites/flosshub.org/files/151msr2010.pdf},
	author = {Di Penta, Massimiliano and Daniel M. German and Antoniol, Giuliano}
}
