@proceedings {1875,
	title = {Considering the use of walled gardens for FLOSS project communication},
	year = {2017},
	month = {05/2017},
	abstract = {At its core, free, libre, and open source software (FLOSS) is defined by its adherence to a set of licenses that give various freedoms to the users of the software, for example the ability to use the software, to read or modify its source code, and to distribute the software to others. In addition, many FLOSS projects and developers also champion other values related to "freedom" and "openness", such as transparency, for example in communication and decision-making, or community-orientedness, for example in broadening access, collaboration, and participation. This paper explores how one increasingly common software development practice - communicating inside non-archived, third-party "walled gardens" - puts these FLOSS values into conflict. If communities choose to use non-archived walled gardens for communication, they may be prioritizing one type of openness (broad participation) over another (transparency). We use 18 FLOSS projects as a sample to describe how walled gardens are currently being used for intra-project communication, as well as to determine whether or not these projects provide archives of these communications. Findings will be useful to the FLOSS community as a whole as it seeks to under- stand the evolution and impact of its communication choices.},
	keywords = {apache, chat, communication, email, free software, irc, mailing list, open source, Slack, Stack Overflow, teams, Wordpress},
	doi = {10.1007/978-3-319-57735-7_1},
	url = {https://link.springer.com/content/pdf/10.1007\%2F978-3-319-57735-7_1.pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/preprint_0.pdf},
	author = {Squire, Megan}
}
@article {1082,
	title = {Returns from social capital in open source software networks},
	journal = {Journal of Evolutionary Economics},
	volume = {19},
	year = {2009},
	note = {"The data we use in this analysis come from the SourceForge.net Research Data (Department of Computer Science and Engineering, University of Notre Dame)." "Particularly, our dataset is a sub-sample of 2,962 valid observations over twelve months of projects aimed at developing games{\textquoteright} software. To get this sample, we look at the monthly dumps of data and select all projects that belong to the category of GNU Public License (GPL) [6]. "
dependent variable: performance (number of downloads); independent variable: social network ("Here we measure ties among projects through the individuals{\textquoteright} member and contributor roles at projects on the network over time.)},
	month = {4/2009},
	pages = {277 - 295},
	abstract = {Open Source Software projects base their operation on a collaborative structure for knowledge exchange in the form of provision or reception of information, expertise, and feedback on the creation of source code. Here, we address the direction of these knowledge flows among projects throughout social networks and their impact on project success. We identify the roles of membership or contribution that individuals play within projects. We found that connections through contributors who bring their knowledge to the project, improve project success, and that connection through members, who transfer their knowledge towards other projects, enhance project success. Finally, we found that ties through shared membership and contributions hamper project success. The analysis of knowledge flows and their impact on project success imply a translation of returns from investment in social capital, where investment takes the shape of knowledge flows and the returns mean the projects{\textquoteright} diffusion over the network.},
	keywords = {contributors, developers, games, gpl, project success, roles, social capital, social network analysis, social networks, sourceforge, srda, teams},
	issn = {1432-1386},
	doi = {10.1007/s00191-008-0125-5},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Mendez-DuronGarcia.pdf},
	author = {M{\'e}ndez-Dur{\'o}n, Rebeca and Garc{\'\i}a, Clara E.}
}
@article {Au20099,
	title = {Virtual organizational learning in open source software development projects},
	journal = {Information \& Management},
	volume = {46},
	number = {1},
	year = {2009},
	pages = {9 - 15},
	abstract = {We studied virtual organizational learning in open source software (OSS) development projects. Specifically, our research focused on learning effects of OSS projects and the factors that affect the learning process. The number and percentage of resolved bugs and bug resolution time of 118 SourceForge.net OSS projects were used to measure the learning effects. Projects were characterized by project type, number and experience of developers, number of bugs, and bug resolution time. Our results provided evidence of virtual organizational learning in OSS development projects and support for several factors as determinants of performance. Team size was a significant predictor, with mid-sized project teams functioning best. Teams of three to seven developers exhibited the highest efficiency over time and teams of eight to 15 produced the lowest mean time for bug resolution. Increasing the percentage of bugs assigned to specific developers or boosting developer participation in other OSS projects also improved performance. Furthermore, project type introduced variability in project team performance.},
	keywords = {bug fixing, bugs, learning, Project performance, sourceforge, team size, teams, virtual organization},
	issn = {0378-7206},
	doi = {DOI: 10.1016/j.im.2008.09.004},
	url = {http://www.sciencedirect.com/science/article/B6VD0-4V1D7NT-1/2/a3bbf7652c674f753398160b8f05f6e9},
	author = {Yoris A. Au and Darrell Carpenter and Xiaogang Chen and Jan G. Clark}
}
@conference {994,
	title = {Recommending Emergent Teams},
	booktitle = {Fourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {5 - 5},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {To build successful complex software systems, developers must collaborate with each other to solve issues. To facilitate this collaboration, specialized tools, such as chat and screen sharing, are being integrated into development environments. Currently, these tools require a developer to maintain a list of other developers with whom they may wish to communicate and to determine who within this list has expertise for a specific situation. For large, dynamic projects, like several successful open-source projects, these requirements place an unreasonable burden on the developer. In this paper, we show how the structure of a team emerges from how developers change software artifacts. We introduce the Emergent Expertise Locator (EEL) that uses emergent team information to propose experts to a developer within their development environment as the developer works. We found that EEL produces, on average, results with higher precision and higher recall than an existing heuristic for expertise recommendation.},
	keywords = {bugzilla, developers, eclipse, evolution, expertise, Firefox, teams},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.27},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300005.pdf},
	author = {Minto, Shawn and Murphy, Gail C.}
}
@conference {998,
	title = {Visual Data Mining in Software Archives to Detect How Developers Work Together},
	booktitle = {Fourth International Workshop on Mining Software RepositoriesFourth International Workshop on Mining Software Repositories (MSR{\textquoteright}07:ICSE Workshops 2007)},
	year = {2007},
	pages = {9 - 9},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Minneapolis, MN, USA},
	abstract = {Analyzing the check-in information of open source software projects which use a version control system such as CVS or SUBVERSION can yield interesting and important insights into the programming behavior of developers. As in every major project tasks are assigned to many developers, the development must be coordinated between these programmers.

This paper describes three visualization techniques that help to examine how programmers work together, e.g. if they work as a team or if they develop their part of the software separate from each other. Furthermore, phases of stagnation in the lifetime of a project can be uncovered and thus, possible problems are revealed.

To demonstrate the usefulness of these visualization techniques we performed case studies on two open source projects. In these studies interesting patterns of developers? behavior, e.g. the specialization on a certain module can be observed. Moreover, modules that have been changed by many developers can be identified as well as such ones that have been altered by only one programmer.},
	keywords = {change, coordination, cvs, developers, junit, modules, scm, source code, svn, teams, tomcat, visualization},
	isbn = {0-7695-2950-X},
	doi = {10.1109/MSR.2007.34},
	attachments = {https://flosshub.org/sites/flosshub.org/files/28300009.pdf},
	author = {Weissgerber, Peter and Pohl, Mathias and Burch, Michael}
}
@article {Crowston:2006a,
	title = {Hierarchy and centralization in Free and Open Source Software team communications},
	journal = {Knowledge, Technology \& Policy},
	volume = {18},
	number = {4},
	year = {2006},
	pages = {65{\textendash}85},
	abstract = {Free/Libre Open Source Software (FLOSS) development teams provide an interesting and convenient setting for studying distributed work. We begin by answering perhaps the most basic question: what is the social structure of these teams? Based on a social network analysis of interactions represented in 62,110 bug reports from 122 large and active projects, we find that some OSS teams are highly centralized, but contrary to expectation, others are not. Projects are mostly quite hierarchical on four measures of hierarchy, consistent with past research but contrary to the popular image of these projects. Furthermore, we find that the level of centralization is negatively correlated with project size, suggesting that larger projects become more modular. The paper makes a further methodological contribution by identifying appropriate analysis approaches for interaction data. We conclude by sketching directions for future research.},
	keywords = {apache, bug fixing, bug tracking, FLOSS, project success, savannah, social network analysis, sourceforge, team size, teams},
	attachments = {https://flosshub.org/sites/flosshub.org/files/CrowstonHierarchyAndCentralization.pdf},
	author = {Kevin Crowston and Howison, James}
}
@article {1088,
	title = {Self-Organization Patterns in Wasp and Open Source Communities},
	journal = {IEEE Intelligent Systems},
	volume = {21},
	year = {2006},
	note = {"To investigate such claims, we studied an OSS community{\textquoteright}s social network from a dataset describing the email activity of 120 different software teams"
"Our test data originated from Sourceforge (http://sourceforge.net), a large open source project repository, and included communi- ties ranging from very small networks with one or two members to large networks with thousands of members."
"we limited our consideration to email traffic associated with bug fixes and bug reporting. As other researchers have shown[5] this email subset allows an effective reconstruction of the software community{\textquoteright}s social network."
"We thank Kevin Crowston and James Howison for making their software data publicly available."},
	month = {03/2006},
	pages = {36 - 40},
	abstract = {In this paper, we conducted a comparative study of how social organization takes place in a wasp colony and OSS developer communities. Both these systems display similar global organization patterns, such as hierarchies and clear labor divisions. As our analysis shows, both systems also define interacting agent networks with similar common features that reflect limited information sharing among agents. As far as we know, this is the first research study analyzing the patterns and functional significance of these systems{\textquoteright} weighted-interaction networks. By illuminating the extent to which self-organization is responsible for patterns such as hierarchical structure, we can gain insight into the origins of organization in OSS communities.},
	keywords = {agents, decentralization, developers, email, email archives, flossmole, hierarchy, labor division, organization, self-organizing teams, social network analysis, social networks, sourceforge, teams, wasps},
	issn = {1541-1672},
	doi = {10.1109/MIS.2006.34},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.95.5574\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/valverde.pdf},
	author = {Valverde, S. and Theraulaz, G. and Gautrais, J. and Fourcassie, V. and Sole, R.V.}
}
@conference {1160,
	title = {Adopting OSS Methods by Adopting OSS Tools},
	booktitle = {Proceedings of the 2nd ICSE Workshop on Open Source},
	year = {2002},
	abstract = {The open source movement has created and used a set of software engineering tools with features that fit the characteristics of open source development processes. To a large extent, the open source culture and methodology are conveyed to new developers via the toolset itself, and through the demonstrated usage of these tools on existing projects. The rapid and wide adoption of open source tools stands in stark contrast to the difficulties encountered in adopting traditional CASE tools. This paper explores the characteristics that make these tools adoptable and how adopting them may influence software development processes.},
	keywords = {ant, argouml, bugzilla, cactus, cvs, developers, eclipse, emacs, email, faq, junit, mailing lists, make, netbeans, package management, rpm, scarab, subversion, teams, tools, torque, WORK},
	attachments = {https://flosshub.org/sites/flosshub.org/files/Robbins.pdf},
	author = {Robbins, Jason E.}
}
@proceedings {140,
	title = {An exploratory study of ideology and trust in open source development groups},
	year = {2001},
	note = {"To do this, we scanned information in the public domain to develop a preliminary understanding of the context. We then identified 48 OS projects using www.sourceforge.net, an on-line open source meeting place that provides information on open source efforts and hosts code repositories. Projects were selected to represent a variety of types of software, licenses, and group sizes. We contacted administrators or project leaders and asked them to complete open-ended questionnaires regarding their experience and views on open source development."},
	abstract = {Open source (OS) software development has been the subject of heightened interest among organizational scholars because of the novel social coordination practices that signal a departure from traditional proprietary software development. We propose that trust among group members in open source development groups (OSDGs) plays a key role in facilitating their success. Trust is important in this context because of the risk of opportunistic behavior by other members who volunteers may not have met and may never expect to meet, as well as a lack of explicit market contracts or common organizational affiliation. The open source community is differentiated by a coherent ideology that emphasizes a distinct set of interrelated norms, beliefs, and values. These serve to create incentives for open source practices that eschew conventional transactional norms in favor of a gift culture and a focus on reputations. In this study, we primarily examine the role of the shared ideology in enabling the development of affective and cognitive trust in OSDGs. We further examine how this trust leads to desired outcomes - group efficacy and effectiveness. The study is based on exploratory interviews, examination of archival records and a preliminary survey to understand the specific conditions of open source efforts on which this work-in-progress report is based. This is being followed-up by empirical testing of our research model through a survey of a broad variety of OSDGs. This study would contribute to a clarification of the role of trust in enabling software groups to work effectively and help to understand the bases of trust in ideology-permeated groups.},
	keywords = {contributors, groups, ideology, license analysis, licenses, metadata, open source, sourceforge, Survey, team, team size, teams, trust, types},
	doi = {10.1.1.104.638},
	url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.104.638\&rep=rep1\&type=pdf},
	attachments = {https://flosshub.org/sites/flosshub.org/files/stewartGosain2001.pdf},
	author = {Katherine Stewart and Gosain, S.}
}
