@proceedings {1911,
	title = {Machine Learning-Based Detection of Open Source License Exceptions},
	year = {2017},
	note = {"We address these questions by first performing a large scale mining-based study... [W]e analyzed the  source code of 51,754 projects written in six different programming languages (Ruby, Javascript, Python, C, C++, and C$\#$) hosted on GitHub. },
	month = {05/2017},
	pages = {118-129},
	abstract = {From a legal perspective, software licenses govern the redistribution, reuse, and modification of software as both source and binary code. Free and Open Source Software (FOSS) licenses vary in the degree to which they are permissive or restrictive in allowing redistribution or modification under licenses different from the original one(s). In certain cases developers may modify the license by appending to it an exception to specifically allow reuse or modification under a particular condition. These exceptions are an important factor to consider for license compliance analysis since they modify the standard (and widely understood_ terms of the original license. In this work, we first perform a large-scale empirical study on the change history of over 51k FOSS systems aimed at quantitatively investigating the prevalence of known license exceptions and identifying new ones. Subsequently, we performed a study on the detection of license exceptions by relying on machine learning. We evaluated the license exception classification with four different supervised learners and sensitivity analysis. Finally we present a categorization of license exceptions and explain their implications.},
	keywords = {classifier, empirical studies, license, machine learning},
	doi = {10.1109/ICSE.2017.19},
	author = {Vendome, Christopher and Mario Linares-Vasquez and Bavota, Gabriele and Di Penta, Massimiliano and Daniel M. German and Poshyvanyk, Denys}
}
@conference {1308,
	title = {Social interactions around cross-system bug fixings},
	booktitle = {Proceedings of the 8th working conference on Mining software repositories - MSR {\textquoteright}11},
	year = {2011},
	note = {"We rely on information stored in versioning database and mailing lists of both systems and develop methods to reconstruct and integrate different historical database"},
	month = {05/2011},
	pages = {143-152},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York, New York, USA},
	abstract = {Cross-system bug fixing propagation is frequent among systems having similar characteristics, using a common framework, or, in general, systems with cloned source code fragments. While previous studies showed that clones tend to be properly maintained within a single system, very little is known about cross-system bug management.

This paper describes an approach to mine explicitly documented cross-system bug fixings, and to relate their occurrences to social characteristics of contributors discussing through the project mailing lists--e.g., degree, betweenness, and brokerage--as well as to the contributors{\textquoteright} activity on source code.

The paper reports results of an empirical study carried out on FreeBSD and OpenBSD kernels. The study shows that the phenomenon of cross-system bug fixing between these two projects occurs often, despite the limited overlap of contributors. The study also shows that cross-system bug fixings mainly involve contributors with the highest degree, betweenness and brokerage level, as well as contributors that change the source code more than others.},
	keywords = {bug fixing, bug tracking system, committers, email, email archives, freebsd, mailing list, openbsd},
	isbn = {9781450305747},
	doi = {10.1145/1985441.1985463},
	author = {Cerulo, Luigi and Cimitile, Marta and Di Penta, Massimiliano and Canfora, Gerardo}
}
@conference {1311,
	title = {What topics do Firefox and Chrome contributors discuss?},
	booktitle = {Proceedings of the 8th working conference on Mining software repositories - MSR {\textquoteright}11},
	year = {2011},
	month = {05/2011},
	pages = {234-237},
	publisher = {ACM Press},
	organization = {ACM Press},
	address = {New York, New York, USA},
	abstract = {Firefox and Chrome are two very popular open source Web browsers, implemented in C/C++. This paper analyzes what topics were discussed in Firefox and Chrome bug reports over time. To this aim, we indexed the text contained in bug reports submitted each semester of the project history, and identified topics using Latent Dirichlet Allocation (LDA). Then, we investigated to what extent Firefox and Chrome developers/contributors discussed similar topics, either in different periods, or over the same period. Results indicate a non-negligible overlap of topics, mainly on issues related to page layouting, user interaction, and multimedia contents.},
	keywords = {bug reports, chrome, Firefox, LDA, msr challenge},
	isbn = {9781450305747},
	doi = {10.1145/1985441.1985480},
	author = {Zagarese, Quirino and Distante, Damiano and Di Penta, Massimiliano and Bernardi, Mario Luca and Sementa, Carmine}
}
