scholarly journals Collaborative Development within Open Source Communities

2011 ◽  
pp. 1265-1271
Author(s):  
Javier Soriano ◽  
Sonia Frutos ◽  
Jiménez. Miguel

Open source communities are one of the most successful-- and least appreciated--examples of high-performance collaboration and community building on the Internet today. Open source communities began as loosely organized, ad-hoc communities of contributors from all over the world who shared an interest in meeting a common need. However, the organization of these communities has proven to be very flexible and capable of carrying out all kind of developments, ranging from minor projects to huge programs such as Apache (Höhn, & Herr, 2004; Mockus, Fielding, & Herbsleb, 2005).

Author(s):  
Javier Soriano ◽  
Sonia Frutos ◽  
Jiménez. Miguel

Open source communities are one of the most successful-- and least appreciated--examples of high-performance collaboration and community building on the Internet today. Open source communities began as loosely organized, ad-hoc communities of contributors from all over the world who shared an interest in meeting a common need. However, the organization of these communities has proven to be very flexible and capable of carrying out all kind of developments, ranging from minor projects to huge programs such as Apache (Höhn, & Herr, 2004; Mockus, Fielding, & Herbsleb, 2005).


Author(s):  
Jarrod M. Rifkind ◽  
Seymour E. Goodman

Information technology has drastically changed the ways in which individuals are accounted for and monitored in societies. Over the past two decades, the United States and other countries worldwide have seen a tremendous increase in the number of individuals with access to the Internet. Data collected by the World Bank shows that 17.5 of every 100 people in the world had access to the Internet in 2006, and this number increased to 23.2 in 2008, 29.5 in 2010, and 32.8 in 2011 (World Bank 2012). According to the latest Cisco traffic report, Internet traffic exceeded 30 exabytes (1018 bytes) per month in 2011 and is expected to reach a zettabyte (1021 bytes) per month by 2015 (Cisco Systems 2011). Activities on the Web are no longer limited to seemingly noncontroversial practices like e-mail. The sheer growth of the Internet as a medium for communication and information sharing as well as the development of large, high-performance data centers have made it easier and less expensive for companies and governments to aggregate large amounts of data generated by individuals. Today, many people’s personal lives can be pieced together relatively easily according to their search histories and the information that they provide on social networking websites such as Facebook and Twitter. Therefore, technological breakthroughs associated with computing raise important questions regarding information security and the role of privacy in society. As individuals begin using the Internet for e-commerce, e-government, and a variety of other services, data about their activities has been collected and stored by entities in both the public and private sectors. For the private sector, consumer activities on the Internet provide lucrative information about user spending habits that can then be used to generate targeted advertisements. Companies have developed business models that rely on the sale of such information to third-party entities, whether they are other companies or the federal government. As for the public sector, data collection occurs through any exchange a government may have with its citizens.


2021 ◽  
Author(s):  
Raphael Vallat ◽  
Matthew P Walker

The creation of a completely automated sleep-scoring system that is highly accurate, flexible, well validated, free and simple to use by anyone has yet to be accomplished. In part, this is due to the difficulty of use of existing algorithms, algorithms having been trained on too small samples, and paywall demotivation. Here we describe a novel algorithm trained and validated on +27,000 hours of polysomnographic sleep recordings across heterogeneous populations around the world. This tool offers high sleep-staging accuracy matching or exceeding human accuracy and interscorer agreement no matter the population kind. The software is easy to use, computationally low-demanding, open source, and free. Such software has the potential to facilitate broad adoption of automated sleep staging with the hope of becoming an industry standard.


2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Junho Kim ◽  
SeungGwan Lee ◽  
Sungwon Lee

The Internet penetration rate is rising all over the world. In South Korea, there is no area which does not have Ethernet ports and Wi-Fi. So many people are familiar with network, Internet. However, there are still many countries and regions that do not know the weather today because the Internet is not available yet. To solve this problem, many people are studying the mesh network and actually building it and making efforts to spread the Internet. But, in reality, software that can build and manage such a mesh network is insufficient. In order to solve this problem, this paper proposes Gathering of Organization Treating Humble Ad-hoc Management (GOTHAM) and describes the results. GOTHAM is designed to solve three problems that exist in mesh network users. The first is that the mesh network is difficult to install, and the second is that there is no mesh network topology visualization software for batman-adv. And finally, there is no mesh network integration system for administrators. This paper focuses on these three problems and explains the GOTHAM that combines software-defined network (SDN). In addition, this paper describes three modules of GOTHAM. GOTHAM-setting, GOTHAM-main, and GOTHAM-GUI are explained in detail, and how these three modules work together is described. And also, we evaluate and analyze the performance of file transfer function using flow control which is a user application in the GOTHAM-main module. GOTHAM’s goal is not to be used for research but to actually run and let people use right now. That’s why GOTHAM is an open source project. All the software used in GOTHAM is open source. And also, we use hardware which is inexpensive and easy to get anywhere.


2011 ◽  
pp. 1090-1104
Author(s):  
Sergio Fernández ◽  
Diego Berrueta ◽  
Lian Shi ◽  
Jose E. Labra ◽  
Patricia Ordóñez de Pablos

Electronic Mailing lists are a key part of the Internet. They have enabled the development of social communities who share and exchange knowledge in specialized and general domains. In this chapter the auhtors describe methods to capture some of that knowledge which will enable the development of new datasets using Semantic Web technologies. In particular, the authors present the SWAML project, which collects data from mailing lists. They also describe smushing techniques that normalize RDF datasets capturing different resources that identify the same one. They have applied those techniques to identify persons through the mailing lists of open source communities. These techniques have been tested using a dataset automatically extracted from several online open source communities.


Author(s):  
Stewart T. Fleming

The open source software movement exists as a loose collection of individuals, organizations, and philosophies roughly grouped under the intent of making software source code as widely available as possible (Raymond, 1998). While the movement as such can trace its roots back more than 30 years to the development of academic software, the Internet, the World Wide Web, and so forth, the popularization of the movement grew significantly from the mid-80s (Naughton, 2000).


First Monday ◽  
2004 ◽  
Author(s):  
Hiroyuki Shimizu ◽  
Jun Iio ◽  
Kazuo Hiyane

A variety of individuals around the world are furthering development of Free/Libre/Open Source Software (FLOSS) through the Internet. Why do they participate in developers’ communities and continue to develop FLOSS? Is their treatment enough to sustain their activities? Surveys, using online questionnaires, were conducted to answer these questions to analyze the FLOSS movement sociologically. However these surveys tend to focus on developers in the West. We decided to see if there are regional differences in FLOSS development. To that end, we conducted two surveys, the FLOSS–JP survey in Japanese and the FLOSS–ASIA survey in other Asian languages. In this paper, we describe regional differences, especially among Asian and Japanese FLOSS developers and compare the results to those from Western FLOSS surveys. Detailed reports of FLOSS–JP/ASIA are available at our Web site (MRI, 2004)


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Raphael Vallat ◽  
Matthew P Walker

The clinical and societal measurement of human sleep has increased exponentially in recent years. However, unlike other fields of medical analysis that have become highly automated, basic and clinical sleep research still relies on human visual scoring. Such human-based evaluations are time-consuming, tedious, and can be prone to subjective bias. Here, we describe a novel algorithm trained and validated on +30,000 hr of polysomnographic sleep recordings across heterogeneous populations around the world. This tool offers high sleep-staging accuracy that matches human scoring accuracy and interscorer agreement no matter the population kind. The software is designed to be especially easy to use, computationally low-demanding, open source, and free. Our hope is that this software facilitates the broad adoption of an industry-standard automated sleep staging software package.


2022 ◽  
pp. 548-570
Author(s):  
Morgan Richomme

Open source communities have had and continue to have a major influence on the evolution of the Internet. By their nature, such communities involve people with diverse coding cultures and skills. Automation has consequently been of major interest to open source software developers for a long time, and many open source tools have been developed to address code variability and sustainability challenges. This chapter discusses why open source communities must automate and the challenges they will face. Solutions and current examples of automation in open source projects are provided as a guide to what is achievable. OpenShift, OpenStack, and OPNFV communities are used to illustrate different approaches and best practices. Two recently initiated automation initiatives are detailed: “Cross Community Continuous Integration” (XCI) and “Cross Testing” (Xtesting). Finally, some recommendations are provided for new projects as a guide to ease adoption of appropriate tools and methods.


Author(s):  
Kenneth Horwitz

Video Analytics bring together the world of educational research and classroom teaching with technology and the internet. Through use of more than 4500 hours of video data, an open source analytic creation tool, this study creates a video analytic that supports a research paper. In addition to supporting research, analytics can be a reflective tool for teachers, as well as support professional development as all levels. This report illustrates the video analytic, Using Meredith’s models to reason about comparing and ordering unit fractions, (Horwitz, 2015, available at http://dx.doi.org/doi:10.7282/T33J3FQG), as well as the methods used in the creation of the analytic used to support research in student use of representations to make sense of fractions.


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