scholarly journals A Case Study: Crowd Sourced AI Programming [Research in Progress; Abstract]

10.28945/4516 ◽  
2020 ◽  
Author(s):  
Christine Bakke
Keyword(s):  
Artificial Intelligence ◽  
Experiential Learning ◽  
Software Development ◽  
Open Source ◽  
Undergraduate Students ◽  
Open Source Software ◽  
Real World ◽  
Instructional Materials ◽  
Future Research ◽  
Software Projects

Aim/Purpose: To examine crowd-sourced programming as an experiential learning, instructional medium. The goal is to provide real-time, real-world, artificial intelligence programming without textbook instructional materials. Background: Open source software has resulted in loosely knit communities of global software developers that work together on a software project. Taking open source software development to another level, current trends have expanded into crowd sourced development of Artificial Intelligence (AI). This project explored the use of Amazon Alexa’s tools and web resources to learn AI software development. Methodology: This project incorporated experiential and inquiry educational methods that combined direct experience with crowd-sourced programming while requiring students to take risks, solve problems, be creative, make mistakes and resolve them. The instructor facilitated the learning experience through weekly meetings and structured reports that focused on goal setting and analysis of problems. This project is part of ongoing research into small group creative works research that provides students with real-world coding experience. Contribution: Undergraduate students successfully programmed an introductory level social bot using experiential learning methods and a crowd-sourced programming project (Amazon Alexa social bot). Findings: A of the experience and findings will be included with final paper release summary Recommendations for Practitioners: Crowd sourced programming provides opportunities and can be harnessed for semester long coding projects to develop student programming skills through direct involvement in real open sourced projects. Recommendation for Researchers: There is a high rate of failure associated with software projects, yet pro-gramming courses continue to be taught as they have been for decades. More research needs to be done and instructional materials developed for the undergraduate level that use real programming projects. Can we improve the rate of success for software projects by requiring expe-riential education in our courses? Impact on Society: Crowd-sourced programming is an opportunity for students to learn to program and build their portfolio with real world experience. Students participating in crowd-sourced programming are involved in creative works research and gain experience developing real-world software. Future Research: Future research will explore experiential learning such as crowd-sourced and other open source programming opportunities for undergraduate students to participate in real software development.

A Classification Analysis of the Success of Open Source Health Information Technology Projects

2011 ◽  
pp. 256-273
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Information Technology ◽  
Open Source ◽  
Health Information Technology ◽  
Health Information ◽  
Open Source Software ◽  
Future Research ◽  
Software Projects ◽  
Information Technology Projects ◽  
Development Status ◽  
Future Research Directions

As the number of open source software (OSS) projects in healthcare grows rapidly, researchers are faced with the challenge of understanding and explaining the success of the open source phenomenon. This article proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects and it develops a systematic method for classifying projects based on their success potential. Drawing from economic theory, a novel proposition in the authors’ framework suggests that higher project-license restrictiveness will increase OSS adoption, because organizations will be more confident that the OSS project will remain open source in the future. Applying the framework to a sample of open source software projects in healthcare, the authors find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system and programming language are significant predictors of an OSS project’s success categorization. Application implications and future research directions are discussed.

scholarly journals A market for trading software issues

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Malvika Rao ◽  
Georg J P Link ◽  
Don Marti ◽  
Andy Leak ◽  
Rich Bodo
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Research Result ◽  
Main Idea ◽  
Future Research ◽  
Peer Production ◽  
Public Attention ◽  
Open Source Software Development ◽  
Trading Market

Abstract The security of software is becoming increasingly important. Open source software forms much of our digital infrastructure. It, however, contains vulnerabilities which have been exploited, attracted public attention, and caused large financial damages. This article proposes a solution to shortcomings in the current economic situation of open source software development. The main idea is to introduce price signals into the peer production of software. This is achieved through a trading market for futures contracts on the status of software issues. Users, who value secure software, gain the possibility to predict outcomes and incentivize work, strengthening collaboration and information sharing in open source software development. The design of such a trading market is discussed and a prototype introduced. The feasibility of the trading market design is corroborated in a proof-of-concept implementation and simulation. Preliminary results show that the implementation works and can be used for future experiments. Several directions for future research result from this article, which contributes to peer production, software development practices, and incentives design.

Knowledge Creation in Commitment-Based Value Networks in Multinational Organizations

2008 ◽  
pp. 28-39
Author(s):  
Leslie Gadman
Keyword(s):  
Open Source ◽  
Multinational Corporations ◽  
Open Source Software ◽  
Knowledge Creation ◽  
Business Models ◽  
Future Research ◽  
Software Projects ◽  
Value Networks ◽  
Multinational Organizations ◽  
Networked Economy

The digital networked economy has gone global and is reshaping traditional business models. “Free” and “open source” software (Raymond, 1999) along with more recent successes in the private, public and social sectors offer a vision of a radically new globally networked economy. This economy is characterized by new sources of value creation and competition as barriers to entry are lowered and substitution made easier. It also requires a more stratified, localized approach to the marketplace (Hart and Milstein, 2003) to meet more specialized demands from customers and the societies and environments within which they live. These challenges have implications for almost every aspect of a firm’s strategy and business model, especially its ability to leverage these networks to create value through innovation. Yet, most multinational firms are ill – equipped to take advantage of the knowledge creation derived from high value relationships with suppliers, complementors and customers. This chapter shows the importance of developing a corporate strategy which takes into account ways in which an innovation focus must integrate with installed business processes. This chapter considers the challenges associated with knowledge disclosure, diffusion and utilization (Snowdon, 2002; Spinosa, Flores and Dreyfus, 2001) across value networks and concludes that while successful examples exist in “Free” and “open source” software projects (Raymond, 1999) commercialization of innovation becomes more challenging when increasing levels of personal and financial commitment are required (Mauer, Rai and Sali, 2004). Choosing the most appropriate value networking strategy can have serious implications for success. This chapter adds to studies on knowledge creation and knowledge transfer in multinational corporations by proposing a conceptual model of commitment based value networking strategy. It is hoped this will contribute to future research by offering a theoretical foundation upon which this research may be based and explains why and under what conditions people in commitment based value networks share knowledge.

A Classification Analysis of the Success of Open Source Health Information Technology Projects

2009 ◽  
Vol 4 (4) ◽  
pp. 19-36 ◽  
Author(s):  
Evangelos Katsamakas ◽  
Balaji Janamanchi ◽  
Wullianallur Raghupathi ◽  
Wei Gao
Keyword(s):  
Information Technology ◽  
Open Source ◽  
Health Information Technology ◽  
Health Information ◽  
Open Source Software ◽  
Future Research ◽  
Software Projects ◽  
Information Technology Projects ◽  
Development Status ◽  
Future Research Directions

As the number of open source software (OSS) projects in healthcare grows rapidly, researchers are faced with the challenge of understanding and explaining the success of the open source phenomenon. This article proposes a research framework that examines the roles of project sponsorship, license type, development status and technological complements in the success of open source health information technology (HIT) projects and it develops a systematic method for classifying projects based on their success potential. Drawing from economic theory, a novel proposition in the authors’ framework suggests that higher project-license restrictiveness will increase OSS adoption, because organizations will be more confident that the OSS project will remain open source in the future. Applying the framework to a sample of open source software projects in healthcare, the authors find that although project sponsorship and license restrictiveness influence project metrics, they are not significant predictors of project success categorization. On the other hand, development status, operating system and programming language are significant predictors of an OSS project’s success categorization. Application implications and future research directions are discussed.

Intellectual Property Rights in Open Source Software Communities

2011 ◽  
pp. 285-290
Author(s):  
Chitu Okoli ◽  
Kevin Carillo
Keyword(s):  
Intellectual Property ◽  
Property Rights ◽  
Software Development ◽  
Open Source ◽  
Intellectual Property Rights ◽  
Open Source Software ◽  
Virtual Community ◽  
Source Model ◽  
Software Projects ◽  
Software Development Model

Intellectual property is an old concept, with the first recorded instances of patents (1449) and copyrights (1662) both occurring in England (“Intellectual property”, Wikipedia, 2004). The first piece of software was submitted for copyright to the United States Copyright Office in 1961, and was accepted as copyrightable under existing copyright law (Hollaar, 2002). The open source movement has relied upon controversial intellectual property rights that are rooted in the overall history of software development (Lerner & Tirole, 2002; von Hippel & von Krogh, 2003). By defining specific legal mechanisms and designing various software licenses, the open source phenomenon has successfully proposed an alternative software development model whose approach to the concept of intellectual property is quite different from that taken by traditional proprietary software. A separate article in this encyclopedia treats open source software communities in general as a type of virtual community. This article takes a historical approach to examining how the intellectual property rights that have protected free/open source software have contributed towards the formation and evolution of virtual communities whose central focus is software projects based on the open source model.

The application profiles and development characteristics of library Open Source Software projects

2014 ◽  
Vol 32 (2) ◽  
pp. 260-275 ◽  
Author(s):  
Namjoo Choi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Design Methodology ◽  
Project Success ◽  
Future Research ◽  
Software Projects ◽  
Content Type ◽  
Research And Practice ◽  
Development Status ◽  
Steady Decrease

Purpose – Little is known as to the breadth and diversity of Open Source Software (OSS) applications for libraries and the development characteristics that influence the sustainability and success of projects creating them. The purpose of this paper is to address this gap by analyzing a large sample of library OSS projects. Design/methodology/approach – A total of 594 library OSS projects (469 from SourceForge and 125 from Foss4lib) are classified by type and further differentiated and assessed across a number of criteria including, but not limited to, sponsorship status, license type, and development status. Findings – While various types of library OSS applications were found to be under development and in use, the results show that there has been a steady decrease in the number of projects initiated since 2009. Although sponsorship was significantly positively associated with several indicators of OSS project success, the proportion of sponsored projects was relatively small compared to the proportions reported in some other contexts. In total, 71 percent of the projects have a restrictive license scheme, suggesting that the OSS ideology is valued among library OSS projects. The results also indicate that library OSS projects exhibit several characteristics that differ from the traditional developer-oriented OSS projects in terms of their technical environment. Originality/value – This study, as the first of its kind, offers a broader, more quantitative picture of the state of library OSS applications as well as the development characteristics of projects developing them. Several implications for research and practice, and directions for future research are provided.

scholarly journals M-BiRank: Co-ranking developers and projects using multiple developer-project interactions in open source software community

2020 ◽  
Author(s):  
Dengcheng Yan ◽  
Bin Qi ◽  
Yiwen Zhang ◽  
Zhen Shao
Keyword(s):  
Software Development ◽  
Open Source ◽  
Open Source Software ◽  
Real World ◽  
Single Layer ◽  
Bipartite Network ◽  
Ranking Model ◽  
Multiple Interactions ◽  
Collaborative Coding

Abstract Social collaborative coding is a popular trend in software development and such platforms as GitHub provides rich social and technical functionalities for developers to collaborate on open source projects through multiple interactions. Developers often follow popular developers and projects for learning, technical selection and collaboration. Thus identifying popular developers and projects is very meaningful. In this paper, we propose a multiplex bipartite network ranking model, M-BiRank, to co-rank developers and projects using multiple developer-project interactions. Firstly, multiple developer-project interactions such as commit, issue and watch is extracted and a multiplex developer-project bipartite network is constructed. Secondly, a random layer is selected from this multiplex bipartite network and initial ranking scores are calculated for developers and projects using BiRank. Finally, initial ranking scores diffuse to other layers and mutual reinforcement is taken into consideration to iteratively calculate ranking scores of developers and projects in different layers. Experiments on real world GitHub dataset show that M-BiRank outperforms traditional single layer PageRank and BiRank.

Prediction Models and Techniques for Open Source Software Projects

2014 ◽  
Vol 5 (2) ◽  
pp. 1-39 ◽  
Author(s):  
M.M. Mahbubul Syeed ◽  
Imed Hammouda ◽  
Tarja Systä
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Prediction Models ◽  
Literature Survey ◽  
Future Research ◽  
Software Projects ◽  
Reliable Prediction ◽  
Research Directions ◽  
Fundamental Knowledge ◽  
Future Research Directions

Open Source Software (OSS) is currently a widely adopted approach to developing and distributing software. For effective adoption of OSS, fundamental knowledge of project development is needed. This often calls for reliable prediction models to simulate project evolution and to envision project future. These models provide help in supporting preventive maintenance and building quality software. This paper reports on a systematic literature survey aimed at the identification and structuring of research that offer prediction models and techniques in analyzing OSS projects. In this review, we systematically selected and reviewed 52 peer reviewed articles that were published between January, 2000 and March, 2013. The study outcome provides insight in what constitutes the main contributions of the field, identifies gaps and opportunities, and distills several important future research directions.

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