Open source software success: Measures and analysis

Despite a growing body of research on OSS production, much remains to be learned. One important issue concerns the measures of OSS project success and its determinants. In this paper, we empirically study the determinants of OSS success as measured by the number of subscribers and developers working on an OSS project. Furthermore, we demonstrate that our model forecasts these success measures more accurately as compared to a naive model.We find that OSS projects that develop software to work on Windows/UNIX/Linux operating systems, and developed using C or its derivative languages experience larger increase in subscribers and attract more developers than projects that do not have these characteristics. OSS projects with semi-restrictive licenses have fewer subscribers and attract fewer developers. Interestingly, OSS projects that accept financial donations and are targeted at IS/IT professionals have more subscribers than others, although these characteristics do not affect the developer base. The number of subscribers and developers increases with the age of the OSS project. Finally, the impact of developers on subscribers and subscribers on developers is positive and significant.     

A strategic analysis for successful open source software utilization based on a structural equation model

Commercial software companies face many challenges when competing in today’s fast moving and competitive industry environment. Recently, the use of open source software (OSS) has been proposed as a possible way to address those challenges. OSS provides many benefits, including high-quality software and substantial profits. Nevertheless, OSS has not been effectively utilized in real business. The purpose of this paper is to find what affects the utilization of OSS. For this study, we propose a structural equation model (SEM) to analyze the relationships between the quality factors based on ISO/IEC 9126 and OSS utilization. In addition, we suggest an open source software utilization index (OSSUI) based on the proposed SEM. The results provide us with the controllable feedback information to improve user (programmer) satisfaction during OSS utilization.     

Empirical study of open source software selection for adoption,based on software quality characteristics

Currently, open source software (OSS) products have started to become popular in the market as an alternative to traditional proprietary or closed source software. Governments and organizations are beginning to adopt OSS on a large scale and several governmental initiatives have encouraged the use of OSS in the private sector. One major issue for the government and private sector is the selection of appropriate OSS. This paper uses new internal quality characteristics for selecting OSS that can be added to the dimensions of DeLone and McLean information systems’ model. Through this study, the quality characteristics are organized in a two level hierarchy, which list characteristics and sub-characteristics that are interconnected with three main dimensions: system quality, information quality and service quality. These characteristic dimensions are tailored to the criteria having been built from literature study and standard for software quality and guidelines. This paper presents case study results of applying the proposed quality characteristic on eight different open source software that are divided between open source network tools and learning management systems.     

The factors that affect the performance of open source software development – the perspective of social capital and expertise integration

Drawing on social capital theory, we develop a theoretical model aiming to explore how open source software (OSS) project effectiveness (in terms of team size, team effort and team's level of completion) is affected by expertise integration. This in turn is influenced by three types of social capital – relational capital, cognitive capital and structural capital. In addition, this study also examines two moderating effects – the impact of technical complexity on the relationship between cognitive capital and expertise integration, and of task interdependence on the relationship between expertise integration and task completion. Through a field survey of 160 OSS members from five Taiwanese communities, there is support for some of the proposed hypotheses. Both reciprocity and centrality affect expertise integration as expected, but the influence of commitment and cognitive capital (including expertise and tenure) on expertise integration is not significant. Finally, expertise integration affects both team size and team effort, which in turn jointly influence task completion. This research contributes to advancing theoretical understanding of the effectiveness of free OSS development as well as providing OSS practitioners with insight into how to leverage social capital for improving the performance of OSS development.     

Virtual organizational learning in open source software development projects

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.     

A systematic review of research on open source software in commercial software product development

Context

The popularity of the open source software development in the last decade, has brought about an increased interest from the industry on how to use open source components, participate in the open source community, build business models around this type of software development, and learn more about open source development methodologies. There is a need to understand the results of research in this area.

Objective

Since there is a need to understand conducted research, the aim of this study is to summarize the findings of research that has ben carried out on usage of open source components and development methodologies by the industry, as well as companies’ participation in the open source community.

Method

Systematic review through searches in library databases and manual identification of articles from the open source conference. The search was first carried out in May 2009 and then once again in May 2010.

Results

In 2009, 237 articles were first found, from which 19 were selected based on content and quality, and in 2010, 76 new articles were found from which four were selected. Twenty three articles were identified in total.

Conclusions

The articles could be divided into four categories: open source as part of component based software engineering, business models with open source in commercial organization, company participation in open source development communities, and usage of open source processes within a company.     

User acceptance model of open source software

The development and implementation of open source software (OSS) is one of the most current topics within the academic, business and political environments. Traditionally, research in OSS has focused on identifying individual personal motives for participating in the development of an OSS project, analyzing specific OSS solutions, or the OSS movement, itself. Nevertheless, user acceptance towards this type of technology has received very little attention. For this reason, the main purpose of the current study is to identify the variables and factors that have a direct effect on individual attitude towards OSS adoption. Therefore, we have developed a technological acceptance model on behalf of the users towards a solution based on OSS. For this development, we have considered the technology acceptance model. Findings show that OSS is a viable solution for information management for organizations.     

Understanding knowledge sharing activities in free/open source software projects: An empirical study

Free/Open Source Software (F/OSS) projects are people-oriented and knowledge intensive software development environments. Many researchers focused on mailing lists to study coding activities of software developers. How expert software developers interact with each other and with non-developers in the use of community products have received little attention. This paper discusses the altruistic sharing of knowledge between knowledge providers and knowledge seekers in the Developer and User mailing lists of the Debian project. We analyze the posting and replying activities of the participants by counting the number of email messages they posted to the lists and the number of replies they made to questions others posted. We found out that participants interact and share their knowledge a lot, their positing activity is fairly highly correlated with their replying activity, the characteristics of posting and replying activities are different for different kinds of lists, and the knowledge sharing activity of self-organizing Free/Open Source communities could best be explained in terms of what we called “Fractal Cubic Distribution” rather than the power-law distribution mostly reported in the literature. The paper also proposes what could be researched in knowledge sharing activities in F/OSS projects mailing list and for what purpose. The research findings add to our understanding of knowledge sharing activities in F/OSS projects.     

Reliability analysis and optimal version-updating for open source software

Context

Although reliability is a major concern of most open source projects, research on this problem has attracted attention only recently. In addition, the optimal version-dating for open source software considering its special properties is not yet discussed.

Objective

In this paper, the reliability analysis and optimal version-updating for open source software are studied.

Method

A modified non-homogeneous Poisson process model is developed for open source software reliability modeling and analysis. Based on this model, optimal version-updating for open source software is investigated as well. In the decision process, the rapid release strategy and the level of reliability are the two most important factors. However, they are essentially contradicting with each other. In order to consider these two conflicting factors simultaneously, a new decision model based on multi-attribute utility theory is proposed.

Results

Our models are tested on the real world data sets from two famous open source projects: Apache and GNOME. It is found that traditional software reliability models provide overestimations of the reliability of open source software. In addition, the proposed decision model can help management to make a rational decision on the optimal version-updating for open source software.

Conclusion

Empirical results reveal that the proposed model for open source software reliability can describe the failure process more accurately. Furthermore, it can be seen that the proposed decision model can assist management to appropriately determine the optimal version-update time for open source software.     

Comparative case studies of open source software peer review practices

ContextThe power of open source software peer review lies in the involvement of virtual communities, especially users who typically do not have a formal role in the development process. As communities grow to a certain extent, how to organize and support the peer review process becomes increasingly challenging. A universal solution is likely to fail for communities with varying characteristics.ObjectiveThis paper investigates differences of peer review practices across different open source software communities, especially the ones engage distinct types of users, in order to offer contextualized guidance for developing open source software projects.MethodComparative case studies were conducted in two well-established large open source communities, Mozilla and Python, which engage extremely different types of users. Bug reports from their bug tracking systems were examined primarily, complemented by secondary sources such as meeting notes, blog posts, messages from mailing lists, and online documentations.ResultsThe two communities differ in the key activities of peer review processes, including different characteristics with respect to bug reporting, design decision making, to patch development and review. Their variances also involve the designs of supporting technology. The results highlight the emerging role of triagers, who bridge the core and peripheral contributors and facilitate the peer review process. The two communities demonstrate alternative designs of open source software peer review and their tradeoffs were discussed.ConclusionIt is concluded that contextualized designs of social and technological solutions to open source software peer review practices are important. The two cases can serve as learning resources for open source software projects, or other types of large software projects in general, to cope with challenges of leveraging enormous contributions and coordinating core developers. It is also important to improve support for triagers, who have not received much research effort yet.     

Open source software and the algorithm visualization community

Algorithm visualizations are widely viewed as having the potential for major impact on computer science education, but their quality is highly variable. We report on the software development practices used by creators of algorithm visualizations, based on data that can be inferred from a catalog of over 600 algorithm visualizations. Since nearly all are free for use and many provide source code, they might be construed as being open source software. Yet many AV developers do not appear to have used open source best practices. We discuss how such development practices might be employed by the algorithm visualization community, and how they might lead to improved algorithm visualizations in the future. We conclude with a discussion of OpenDSA, an open-source project that builds on earlier progress in the field of algorithm visualization and hopes to use open-source procedures to gain users and contributors.     

Beyond free software: An exploration of the business value of strategic open source

The phenomenon of open source software (OSS) has been well studied from the software development perspective, but it has received much less attention from the perspective of business value. Nevertheless, OSS, when viewed as a value creation process rather than ‘free’ software, provides businesses with value through access to knowledge and innovation capacity resident in online communities. This conceptualisation, which we label ‘strategic open source’ requires firms to rethink their strategy and processes as there is a shift in focus from ownership to openness and collaboration with external parties. Nonetheless, the emergence of OSS poses a puzzle for conceptions of organisational theory. Therefore, a theorising process is needed in order to develop a deeper understanding of how value is created and captured with OSS. Using a field study of eleven European firms, this paper explores the creation and capture of business value from strategic open source. The findings reveal that while decision makers look to open innovation initiatives like OSS for value creation and capture, there is still a desire to remain self reliant, resulting in collaborative design (of external innovations) rather than collaborative decision making with value network partners in relation to how such innovations would help create and capture value within firms.     

On the security of open source software

Abstract With the rising popularity of so‐called ‘open source’ software there has been increasing interest in both its various benefits and disadvantages. In particular, despite its prominent use in providing many aspects of the Internet's basic infrastructure, many still question the suitability of such software for the commerce‐oriented Internet of the future. This paper evaluates the suitability of open source software with respect to one of the key attributes that tomorrow's Internet will require, namely security. It seeks to present a variety of arguments that have been made, both for and against open source security and analyses in relation to empirical evidence of system security from a previous study. The results represent preliminary quantitative evidence concerning the security issues surrounding the use and development of open source software, in particular relative to traditional proprietary software.     

Diffusion dynamics of open source software: An agent-based computational economics (ACE) approach

The rising popularity of open source software (OSS) calls for a better understanding of the drivers of its adoption and diffusion. In this research, we propose an integrated framework that simultaneously investigates a broad range of social and economic factors on the diffusion dynamics of OSS using an Agent Based Computational Economics (ACE) approach. We find that interoperability costs, variability of OSS support costs, and duration of PS upgrade cycle are major determinants of OSS diffusion. Furthermore, there are interaction effects between network topology, network density and interoperability costs, which strongly influence the diffusion dynamics of OSS. The proposed model can be used as a building block to further investigate complex competitive dynamics in software markets.     

Code quality analysis in open source software development

Abstract Proponents of open source style software development claim that better software is produced using this model compared with the traditional closed model. However, there is little empirical evidence in support of these claims. In this paper, we present the results of a pilot case study aiming: (a) to understand the implications of structural quality; and (b) to figure out the benefits of structural quality analysis of the code delivered by open source style development. To this end, we have measured quality characteristics of 100 applications written for Linux, using a software measurement tool, and compared the results with the industrial standard that is proposed by the tool. Another target of this case study was to investigate the issue of modularity in open source as this characteristic is being considered crucial by the proponents of open source for this type of software development. We have empirically assessed the relationship between the size of the application components and the delivered quality measured through user satisfaction. We have determined that, up to a certain extent, the average component size of an application is negatively related to the user satisfaction for this application.     

An empirical analysis of open source software developers’ motivations and continuance intentions

We investigated open source software (OSS) developers’ intentions to continue their involvement in future projects. The research goal was to analyze the motivations of OSS developers systematically and identify those factors that influenced their continuation. A work motivation model for OSS developers was proposed and a research model was empirically validated using data from a field survey of 148 OSS participants. The results showed that OSS developers’ feelings of satisfaction and their intentions to continue with OSS development was influenced by both helping behavior and economic incentives and also that adequate motivators existed, though OSS developers did not benefit equally and there was substantial room to improve their experiences as OSS developers.     

化学信息学开源软件的集成与复用

软件集成与复用是提高开发效率和质量的重要途径,而开发标准是实现集成与复用的重要因素。通过分析InChI、Jmol和BALL等实例,提出了化学信息学开源软件开发的数据通信标准、界面标准和模块标准问题。在此基础上,以作者进行的分子相似性与差异性研究为例,展示了对开源科学计算软件SciLab的主成分分析(PCA)模块进行改进、集成和复用的情况,说明对开源软件应采取扬弃态度,保障集成、复用的成效。     

大型自由和开源软件进化研究

大型自由和开源软件的各种版本源代码和相关开发信息是软件工程研究者研究开源软件项目的重要数据源.归纳开源软件项目的数据源及数据收集方法,给出Linux、FreeBSD操作系统内核的软件进化的分析方法和相关分析结果.重点分析了系统和主要子系统的复杂性进化趋势及推动进化主要原因,提出了快速测算大型开源软件复杂性的方法.得出系统目前以超线性方式进化,而进化的主要推动力是适应系统硬件资源的进化.     

Investigating recognition-based performance in an open content community: A social capital perspective

As the open source movement grows, it becomes important to understand the dynamics that affect the motivation of participants who contribute their time freely to such projects. One important motivation that has been identified is the desire for formal recognition in the open source community. We investigated the impact of social capital in participants’ social networks on their recognition-based performance; i.e., the formal status they are accorded in the community. We used a sample of 465 active participants in the Wikipedia open content encyclopedia community to investigate the effects of two types of social capital and found that network closure, measured by direct and indirect ties, had a significant positive effect on increasing participants’ recognition-based performance. Structural holes had mixed effects on participants’ status, but were generally a source of social capital.     

A systematic literature review on the barriers faced by newcomers to open source software projects

ContextNumerous open source software projects are based on volunteers collaboration and require a continuous influx of newcomers for their continuity. Newcomers face barriers that can lead them to give up. These barriers hinder both developers willing to make a single contribution and those willing to become a project member.ObjectiveThis study aims to identify and classify the barriers that newcomers face when contributing to open source software projects.MethodWe conducted a systematic literature review of papers reporting empirical evidence regarding the barriers that newcomers face when contributing to open source software (OSS) projects. We retrieved 291 studies by querying 4 digital libraries. Twenty studies were identified as primary. We performed a backward snowballing approach, and searched for other papers published by the authors of the selected papers to identify potential studies. Then, we used a coding approach inspired by open coding and axial coding procedures from Grounded Theory to categorize the barriers reported by the selected studies.ResultsWe identified 20 studies providing empirical evidence of barriers faced by newcomers to OSS projects while making a contribution. From the analysis, we identified 15 different barriers, which we grouped into five categories: social interaction, newcomers’ previous knowledge, finding a way to start, documentation, and technical hurdles. We also classified the problems with regard to their origin: newcomers, community, or product.ConclusionThe results are useful to researchers and OSS practitioners willing to investigate or to implement tools to support newcomers. We mapped technical and non-technical barriers that hinder newcomers’ first contributions. The most evidenced barriers are related to socialization, appearing in 75% (15 out of 20) of the studies analyzed, with a high focus on interactions in mailing lists (receiving answers and socialization with other members). There is a lack of in-depth studies on technical issues, such as code issues. We also noticed that the majority of the studies relied on historical data gathered from software repositories and that there was a lack of experiments and qualitative studies in this area.