@article {1745,
	title = {SENTIMENT ANALYSIS OF FREE/OPEN SOURCE DEVELOPERS: PRELIMINARY FINDINGS FROM A CASE STUDY},
	journal = {Revista Eletr{\^o}nica de Sistemas de Informa{\c c}{\~a}o},
	volume = {13},
	year = {2014},
	month = {08/2014},
	abstract = {Software development is a human intensive activity. And as such, how developers face their tasks is of major importance. In an environment such as the one that is common in FOSS (free/open source software) projects where professionals (i.e., paid developers) share the development effort with volunteers, the morale of the development and user community is of major importance. In this paper, we present a preliminary analysis using sentiment analysis techniques to a FOSS project. We therefore mine the mailing list of a project and apply these techniques to the most relevant participants. Although the application is at this time limited, we hope that this experience can be of benefit in the future to determine situations that may affect the developers or the project, such as low productivity, developer abandonment, project forking, etc. },
	keywords = {developer productivity, FLOSS, mailing lists, natural language processing, openSUSE, sentiment analysis, software development; software repository mining},
	doi = {10.5329/RESI.2014.1302006},
	url = {http://189.16.45.2/ojs/index.php/reinfo/article/view/1677},
	attachments = {https://flosshub.org/sites/flosshub.org/files/1677-6732-1-PB.pdf},
	author = {Rousinopoulos, Athanasios-Ilias and Gregorio Robles and Gonz{\'a}lez-Barahona, Jes{\'u}s M.}
}
@article {1236,
	title = {Tools for the Study of the Usual Data Sources found in Libre Software Projects},
	journal = {International Journal of Open Source Software and Processes},
	volume = {1},
	year = {2009},
	month = {31/2009},
	pages = {24 - 45},
	abstract = {Due to the open nature of Free/Libre/Open Source software projects, researchers have gained access to a rich set of development-related information. Although this information is publicly available on the Internet, obtaining and analyzing it in a convenient way is not an easy task and many considerations have to be taken into account. In this paper we present the most important data sources that can be found in libre software projects and that are studied by the research community: source code, source code management systems, mailing lists and bug tracking systems. We will give advice for the problems that can be found when retrieving and preparing the data sources for a posterior analysis, as well as provide information about the tools that support these tasks.},
	keywords = {bug tracking systems, data sources, mailing lists, scm, tools},
	issn = {1942-3934},
	doi = {10.4018/jossp.2009010102},
	attachments = {https://flosshub.org/sites/flosshub.org/files/robles.pdf},
	author = {Gregorio Robles and Gonz{\'a}lez-Barahona, Jes{\'u}s M. and Izquierdo-Cortazar, Daniel and Herraiz, Israel}
}
