SOURCEFORGE开源社区项目可持续性的比较研究

发布时间：2018-05-14 06:31

本文选题：开源社区 + 可持续性　；参考：《华南理工大学》2014年硕士论文

【摘要】：互联网时代出现了新型的大规模在线协作生产,这种模式的核心在于生产行为的社区化,开源社区就是其中典型的代表。开源社区的开发模式是来自全世界各地方的软件开发爱好者分工合作,以自愿为原则的参与在线协作生产的一种集体行为模式。由于开源社区项目开发中没有物质激励且开发者参与均是以自愿为原则,开源社区目前面临的最大的问题就是如何将组织社区以外的潜在用户吸引到社区中自愿参与生产公共产品以保持开源社区项目的可持续性发展。故本文将研究问题定为开源社区项目的可持续性研究。本文的研究流程首先是通过对开源社区尤其是开源项目可持续性研究的文献进行分析研究,提出开源社区项目可持续性的研究问题。然后以Sourceforge开源社区为研究对象,在互联网和大数据潮流的引领下确定利用互联网手段和大数据技术对开源社区项目进行信息抽取。指标试探选取项目寿命、参与人数和下载量三类指标作为开源社区项目可持续性分析指标,利用火车头软件对目标指标信息进行抽取后根据网站分类及自定分类原则对抽取数据进行清洗和汇总处理。最后针对研究问题开源社区项目可持续性对指标信息进行统计分析,根据统计分析结果从寿命、参与人数和下载量三个方面对不同开源社区项目可持续性进行比较性研究。本研究的价值主要是有1)开源社区项目不存在一般管理学意义上的组织架构和管理规则,其生产是依靠社区内参与者基于自愿的原则,在没有任何物质奖励的前提下进行持续不断的贡献而实现的,没有发现有学者对开源社区可持续性进行比较研究的文献,所以该研究问题是该领域的一个新问题。2)信息抽取技术突破了火车头软件自身的信息抽取技术限制,利用抽取的信息二次组合构建通畅的下载量抽取通路,对有类似挖掘需求的研究人员来说具有一定的参考价值。
[Abstract]:In the Internet era, a new type of large-scale online collaborative production has emerged. The core of this model is the community of production behavior, and open source community is a typical representative. The development model of open source community is a collective behavior model for software development enthusiasts from all over the world to participate in online collaborative production on a voluntary basis. Since there is no material incentive in the development of open source community projects and the participation of developers is voluntary, The biggest problem facing open source communities is how to attract potential users outside the community to voluntarily participate in the production of public goods in order to maintain the sustainability of open source community projects. Therefore, this paper studies the sustainability of open source community projects. The research process of this paper is to analyze and study the literature of open source community, especially the sustainability of open source projects, and put forward the research of sustainability of open source community projects. Then taking the Sourceforge open source community as the research object, under the guidance of the Internet and big data trend, the information extraction of the open source community project is determined by using the Internet means and big data technology. Indicators are selected as indicators of project life, number of participants and downloads as indicators for sustainability analysis of open source community projects. After extracting target index information by locomotive head software, the extracted data are cleaned and collected according to the principles of website classification and self-classification. Finally, the sustainability of open source community projects is statistically analyzed. According to the results of statistical analysis, the sustainability of different open source community projects is compared from three aspects: life span, number of participants and downloads. The main value of this study is that 1) Open source community projects do not exist in the general management sense of organizational structure and management rules, its production is dependent on the community participants based on voluntary principles, Without any material reward for continuous contributions, no literature has been found on comparative studies of the sustainability of open source communities, Therefore, this research problem is a new problem in this field. 2) Information extraction technology breaks through the limitation of information extraction technology of locomotive software itself, and uses the secondary combination of extracted information to construct an unobstructed download extraction path. It has a certain reference value for researchers with similar mining requirements.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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