Network Structure of Social Coding in GitHub

Thung, Ferdian; Bissyandé, Tegawendé F.; Lo, David; Jiang, Lingxiao

doi:10.1109/csmr.2013.41

Cited by 178 publications

(75 citation statements)

References 11 publications

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“…GitHub is arguably the largest social coding site [9], hosting more than three million software projects maintained by over one million registered developers. The two platforms overlap in a knowledge-sharing ecosystem: GitHub developers can ask for help on StackOverflow to solve their own technical challenges; similarly, they can engage in StackOverflow to satisfy a demand for knowledge of others, perhaps less experienced than themselves.…”

Section: Introductionmentioning

confidence: 99%

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

Vasilescu

Filkov

Serebrenik

2013

2013 International Conference on Social Computing

212

151

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Abstract-StackOverflow is a popular on-line programming question and answer community providing its participants with rapid access to knowledge and expertise of their peers, especially benefitting coders. Despite the popularity of StackOverflow, its role in the work cycle of open-source developers is yet to be understood: on the one hand, participation in it has the potential to increase the knowledge of individual developers thus improving and speeding up the development process. On the other hand, participation in StackOverflow may interrupt the regular working rhythm of the developer, hence also possibly slow down the development process.In this paper we investigate the interplay between StackOverflow activities and the development process, reflected by code changes committed to the largest social coding repository, GitHub. Our study shows that active GitHub committers ask fewer questions and provide more answers than others. Moreover, we observe that active StackOverflow askers distribute their work in a less uniform way than developers that do not ask questions. Finally, we show that despite the interruptions incurred, the StackOverflow activity rate correlates with the code changing activity in GitHub.

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Section: Introductionmentioning

confidence: 99%

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

Vasilescu

Filkov

Serebrenik

2013

2013 International Conference on Social Computing

212

151

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show abstract

“…GitHub , launched in 2008, works as a Web-based Git service and has become the de facto social coding platform for collaborative and open source development and code sharing ( Kosner, 2012; Thung et al , 2013) ( github.com/). It holds many potentially desirable features that might be transferable to a system of peer review ( von Muhlen, 2011), such as its openness, version control and project management and collaborative functionalities, and system of accreditation and attribution for contributions.…”

Section: Potential Future Modelsmentioning

confidence: 99%

A multi-disciplinary perspective on emergent and future innovations in peer review

et al. 2017

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Peer review of research articles is a core part of our scholarly communication system. In spite of its importance, the status and purpose of peer review is often contested. What is its role in our modern digital research and communications infrastructure? Does it perform to the high standards with which it is generally regarded? Studies of peer review have shown that it is prone to bias and abuse in numerous dimensions, frequently unreliable, and can fail to detect even fraudulent research. With the advent of web technologies, we are now witnessing a phase of innovation and experimentation in our approaches to peer review. These developments prompted us to examine emerging models of peer review from a range of disciplines and venues, and to ask how they might address some of the issues with our current systems of peer review. We examine the functionality of a range of social Web platforms, and compare these with the traits underlying a viable peer review system: quality control, quantified performance metrics as engagement incentives, and certification and reputation. Ideally, any new systems will demonstrate that they out-perform and reduce the biases of existing models as much as possible. We conclude that there is considerable scope for new peer review initiatives to be developed, each with their own potential issues and advantages. We also propose a novel hybrid platform model that could, at least partially, resolve many of the socio-technical issues associated with peer review, and potentially disrupt the entire scholarly communication system. Success for any such development relies on reaching a critical threshold of research community engagement with both the process and the platform, and therefore cannot be achieved without a significant change of incentives in research environments.

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“…The profile page also shows several statistics that are often used on social networking sites, such as the number of other developers following a user or the number of projects they are watching. Such transparency is an interesting feature of GitHub and other social coding sites [42].…”

Section: Githubmentioning

confidence: 99%

“…Thung et al [42] extracted information about 100,000 projects from GitHub and identified their most influential developers. Jiang et al [30] examined follow-relationships among GitHub users.…”

Section: Related Workmentioning

confidence: 99%

A study on the geographical distribution of Brazil’s prestigious software developers

Filho

Perin

Marczak

et al. 2015

J Internet Serv Appl

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Brazil is an emerging economy with many IT initiatives from public and private sectors. To evaluate the progress of such initiatives, we study the geographical distribution of software developers in Brazil, in particular which of the Brazilian states succeed the most in attracting and nurturing them. We compare the prestige of developers with socio-economic data and find that (i) prestigious developers tend to be located in the most economically developed regions of Brazil, (ii) they are likely to follow others in the same state they are located in, (iii) they are likely to follow other prestigious developers, and (iv) they tend to follow more people. We discuss the implications of those findings for the development of the Brazilian software industry.

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Network Structure of Social Coding in GitHub

Cited by 178 publications

References 11 publications

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

StackOverflow and GitHub: Associations between Software Development and Crowdsourced Knowledge

A multi-disciplinary perspective on emergent and future innovations in peer review

A study on the geographical distribution of Brazil’s prestigious software developers

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