Open for Social

2010 ◽  
Vol 2 (1) ◽  
pp. 49-64
Author(s):  
James Laffey ◽  
Matthew Schmidt ◽  
Christopher Amelung
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Collaborative Work ◽  
Context Aware ◽  
Notification System ◽  
Education Experience ◽  
Social Nature ◽  
E Learning ◽  
K 12

Online learning in K-12 and higher education has been growing rapidly, and open source software has the potential to improve the quality of e-learning. This paper describes how FOSS enables turning e-learning from a potentially restrictive framing of the education experience to an emergent and social experience. The authors identify several key elements of the FOSS model that position open source initiatives to contribute to the emergent and social nature of experience in e-learning. The authors also describe several challenges to developing FOSS in a community of educators for e-learning. These elements and challenges are illustrated in a brief case report about the development of an open source software system called Context-aware Activity Notification System (CANS). CANS (http://cansaware.com) is a notification system that integrates with collaborative work and learning systems and is designed around the importance of awareness of user activity, a user’s social context and personal notification preferences.

Open for Social

2011 ◽  
pp. 187-202
Author(s):  
James M. Laffey ◽  
Matthew Schmidt ◽  
Christopher J. Amelung
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Collaborative Work ◽  
Notification System ◽  
Education Experience ◽  
Social Nature ◽  
Narrow Framing ◽  
E Learning ◽  
K 12

Online learning in K-12 and higher education has been growing rapidly, and open source software has the potential to improve the quality of e-learning. This paper describes how FOSS enables turning e-learning from a potentially restrictive and narrow framing of the education experience to an emergent and social experience. The authors identify several key elements of the FOSS model that position open source initiatives to contribute to the emergent and social nature of experience in e-learning. The authors also describe several challenges to developing FOSS in a community of educators for e-learning. These elements and challenges are illustrated in a brief case report about the development of an open source software system called Context-aware Activity Notification System (CANS). CANS (http://cansaware.com) is a notification system that integrates with collaborative work and learning systems and is designed around the importance of awareness of user activity, a user’s social context and personal notification preferences.

Evaluating Maintainability of Open Source Software

2017 ◽  
Vol 8 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Feras Hanandeh ◽  
Ahmad A. Saifan ◽  
Mohammed Akour ◽  
Noor Khamis Al-Hussein ◽  
Khadijah Zayed Shatnawi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Collaborative Work ◽  
Quality Attribute ◽  
Management Styles ◽  
Software Analysis ◽  
Important Quality ◽  
Work Done ◽  
Education Business

Maintainability is one of the most important quality attribute that affect the quality of software. There are four factors that affect the maintainability of software which are: analyzability, changeability, stability, and testability. Open source software (OSS) developed by collaborative work done by volunteers through around the world with different management styles. Open source code is updated and modified all the time from the first release. Therefore, there is a need to measure the quality and specifically the maintainability of such code. This paper discusses the maintainability for the three domains of the open source software. The domains are: education, business and game. Moreover, to observe the most effective metrics that directly affects the maintainability of software. Analysis of the results demonstrates that OSS in the education domain is the most maintainable code and cl_stat (number of executable statements) metric has the highest degree of influence on the calculation of maintenance in all three domains.

scholarly journals Internal Quality Evolution of Open-Source Software Systems

2021 ◽  
Vol 11 (12) ◽  
pp. 5690
Author(s):  
Mamdouh Alenezi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Software Evolution ◽  
Quality Metrics ◽  
Internal Quality ◽  
Software Systems ◽  
Software Metric ◽  
Significant Difference ◽  
The Relationship

The evolution of software is necessary for the success of software systems. Studying the evolution of software and understanding it is a vocal topic of study in software engineering. One of the primary concepts of software evolution is that the internal quality of a software system declines when it evolves. In this paper, the method of evolution of the internal quality of object-oriented open-source software systems has been examined by applying a software metric approach. More specifically, we analyze how software systems evolve over versions regarding size and the relationship between size and different internal quality metrics. The results and observations of this research include: (i) there is a significant difference between different systems concerning the LOC variable (ii) there is a significant correlation between all pairwise comparisons of internal quality metrics, and (iii) the effect of complexity and inheritance on the LOC was positive and significant, while the effect of Coupling and Cohesion was not significant.

scholarly journals Using Open Source, Open Data, and Civic Technology to Address the COVID-19 Pandemic and Infodemic

2021 ◽  
Author(s):  
Shinji Kobayashi ◽  
Luis Falcón ◽  
Hamish Fraser ◽  
Jørn Braa ◽  
Pamod Amarakoon ◽  
...  
Keyword(s):  
Open Source ◽  
Medical Informatics ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Collaborative Work ◽  
Open Data ◽  
Theme Issue ◽  
Health Organizations ◽  
The World ◽  
Civic Technology

Objectives: The emerging COVID-19 pandemic has caused one of the world’s worst health disasters compounded by social confusion with misinformation, the so-called “Infodemic”. In this paper, we discuss how open technology approaches - including data sharing, visualization, and tooling - can address the COVID-19 pandemic and infodemic. Methods: In response to the call for participation in the 2020 International Medical Informatics Association (IMIA) Yearbook theme issue on Medical Informatics and the Pandemic, the IMIA Open Source Working Group surveyed recent works related to the use of Free/Libre/Open Source Software (FLOSS) for this pandemic. Results: FLOSS health care projects including GNU Health, OpenMRS, DHIS2, and others, have responded from the early phase of this pandemic. Data related to COVID-19 have been published from health organizations all over the world. Civic Technology, and the collaborative work of FLOSS and open data groups were considered to support collective intelligence on approaches to managing the pandemic. Conclusion: FLOSS and open data have been effectively used to contribute to managing the COVID-19 pandemic, and open approaches to collaboration can improve trust in data.

scholarly journals Knowledge sharing in open source software communities: motivations and management

2015 ◽  
Vol 19 (4) ◽  
pp. 791-813 ◽  
Author(s):  
Zilia Iskoujina ◽  
Joanne Roberts
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Open Source Software ◽  
Online Communities ◽  
Descriptive Analysis ◽  
Online Questionnaire ◽  
Content Type ◽  
The Individual ◽  
The Impact

Purpose – This paper aims to add to the understanding of knowledge sharing in online communities through an investigation of the relationship between individual participant’s motivations and management in open source software (OSS) communities. Drawing on a review of literature concerning knowledge sharing in organisations, the factors that motivate participants to share their knowledge in OSS communities, and the management of such communities, it is hypothesised that the quality of management influences the extent to which the motivations of members actually result in knowledge sharing. Design/methodology/approach – To test the hypothesis, quantitative data were collected through an online questionnaire survey of OSS web developers with the aim of gathering respondents’ opinions concerning knowledge sharing, motivations to share knowledge and satisfaction with the management of OSS projects. Factor analysis, descriptive analysis, correlation analysis and regression analysis were used to explore the survey data. Findings – The analysis of the data reveals that the individual participant’s satisfaction with the management of an OSS project is an important factor influencing the extent of their personal contribution to a community. Originality/value – Little attention has been devoted to understanding the impact of management in OSS communities. Focused on OSS developers specialising in web development, the findings of this paper offer an important original contribution to understanding the connections between individual members’ satisfaction with management and their motivations to contribute to an OSS project. The findings reveal that motivations to share knowledge in online communities are influenced by the quality of management. Consequently, the findings suggest that appropriate management can enhance knowledge sharing in OSS projects and online communities, and organisations more generally.

Model to Estimate the Human Factor Quality in FLOSS Development

2015 ◽  
pp. 219-236
Author(s):  
Zulaima Chiquin ◽  
Kenyer Domínguez ◽  
Luis E. Mendoza ◽  
Edumilis Méndez
Keyword(s):  
Decision Making ◽  
Human Resources ◽  
Open Source ◽  
Open Source Software ◽  
Human Factor ◽  
Three Dimensions ◽  
Decision Making Process ◽  
Self Evaluation ◽  
Systemic Quality

This chapter presents a Model to Estimate the Human Factor Quality in Free/Libre Open Source Software (FLOSS) Development, or EHFQ-FLOSS. The model consists of three dimensions: Levels (individual, community, and foundation), Aspects (internal or contextual), and Forms of Evaluation (self-evaluation, co-evaluation, and hetero-evaluation). Furthermore, this model provides 145 metrics applicable to all three levels, as well as an algorithm that guides their proper application to estimate the systemic quality of human resources involved in the development of FLOSS, guide the decision-making process, and take possible corrective actions.

Optimization Scenarios for Open Source Software Used in E-Learning Activities

2018 ◽  
pp. 102-123
Author(s):  
Utku Köse
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Learning Experience ◽  
Learning Activities ◽  
Machine Learning Techniques ◽  
Software Systems ◽  
Source Codes ◽  
E Learning ◽  
Additional Costs ◽  
Teaching Learning

Using open software in e-learning application is one of the most popular ways of improving effectiveness of e-learning-based processes without thinking about additional costs and even focusing on modifying the software according to needs. Because of that, it is important to have an idea about what is needed while using an e-learning-oriented open software system and how to deal with its source codes. At this point, it is a good option to add some additional features and functions to make the open source software more intelligent and practical to make both teaching-learning experiences during e-learning processes. In this context, the objective of this chapter is to discuss some possible applications of artificial intelligence to include optimization processes within open source software systems used in e-learning activities. In detail, the chapter focuses more on using swarm intelligence and machine learning techniques for this aim and expresses some theoretical views for improving the effectiveness of such software for a better e-learning experience.

Computer Assisted Active Learning System Development for The History of Civilization E-learning Courses by Using Free Open Source Software Platforms

2011 ◽  
pp. 203-221
Author(s):  
Dilek Karahoca ◽  
Adem Karahoca ◽  
Ilker Yengin ◽  
Huseyin Uzunboylu
Keyword(s):  
Active Learning ◽  
Open Source ◽  
Open Source Software ◽  
Engineering Students ◽  
Learning System ◽  
Computer Assisted ◽  
Engineering Faculty ◽  
Implementation Purpose ◽  
History Of ◽  
E Learning

This chapter explains the developmental reasons and design to implementation cycles of the Computer Assisted Active Learning System (CALS) for History of Civilization (HOC) courses at Engineering Faculty of Bahcesehir University. Implementation purpose of CALS is to develop set of tools in a systematic way to enhance students’ critical thinking abilities for HOC courses. Dynamic meta-cognitive maps, movies, flash cards and quiz tools were developed. In order to reduce implementation costs of CALS, open Free and Open Source Software (FOSS) standards and platforms were utilized in the development and implementation cycles. This study also investigates the importance of the e-learning platform usage in HOC courses in Engineering Faculty of Bahcesehir University to improve the level of students. Results indicate that the concept based meta-cognitive tool improves learning instead of students just memorizing the class material. Also, engineering students improved their positive attitude towards who wants to learn the history of civilization by using CALS. This study shows that software helps to change human behavior in the learning cycle. This chapter highlights the implications of successful development of FOSS for the CALS.

Open Source Software Communities

2011 ◽  
pp. 363-367
Author(s):  
Kevin Carillo ◽  
Chitu Okoli
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Development Model ◽  
The People ◽  
Develop Software ◽  
Working Together ◽  
Software Development Model ◽  
Key Aspects ◽  
Open Source Communities

Open source software (OSS) development has continued to appear as a puzzling and enigmatic phenomenon and has drawn increasing attention as its importance has grown. Relying upon an alternative way to develop and to distribute software, open source communities have been able to challenge and often outperform proprietary software by enabling better reliability, lower costs, shorter development times, and a higher quality of code (Raymond, 2004). Behind the software is a mass of people working together in loose coordination, even portrayed as a rowdy marketplace (Raymond, 2001, p. 1): No quiet, reverent cathedral-building here—rather, the Linux community seemed to resemble a great babbling bazaar of differing agendas and approaches … out of which a coherent and stable system seemingly emerges only by a succession of miracles. More precisely, the people behind open source projects have been defined as: “Internet-based communities of software developers who voluntarily collaborate in order to develop software that they or their organizations need” (von Krogh, 2003, p. 14). In contrast to the sacred cathedral-like software development model that gave birth to most commercial and proprietary systems, such bazaar-like communities seem to have based their success on a pseudo-anarchic type of collaboration and developers’ interaction (Raymond, 2001). However, in spite of the apparent disorganization of these bazaars, a closer look distinguishes common values and norms that rule them, specific roles that can be identified, similar motives shared by people, and practices that follow patterns. This article highlights key aspects of what forms the communities that support these projects.

Evolution Impact on Architecture Stability in Open-Source Projects

2015 ◽  
Vol 5 (4) ◽  
pp. 24-35 ◽  
Author(s):  
Mamdouh Alenezi ◽  
Fakhry Khellah
Keyword(s):  
Software Architecture ◽  
Open Source ◽  
Open Source Software ◽  
Quality Standard ◽  
Management Style ◽  
Efficient Technique ◽  
Maintenance Cost ◽  
Software Systems ◽  
Architecture Evolution

Software systems usually evolve constantly, which requires constant development and maintenance. Subsequently, the architecture of these systems tends to degrade with time. Therefore, stability is a key measure for evaluating an architecture. Open-source software systems are becoming progressively vital these days. Since open-source software systems are usually developed in a different management style, the quality of their architectures needs to be studied. ISO/IEC SQuaRe quality standard characterized stability as one of the sub-characteristics of maintainability. Unstable software architecture could cause the software to require high maintenance cost and effort. In this work, the authors propose a simple, yet efficient, technique that is based on carefully aggregating the package level stability in order to measure the change in the architecture level stability as the architecture evolution happens. The proposed method can be used to further study the cause behind the positive or negative architecture stability changes.

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