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SOURCEFORGE開源社區(qū)項(xiàng)目可持續(xù)性的比較研究

發(fā)布時(shí)間:2018-05-14 06:31

  本文選題:開源社區(qū) + 可持續(xù)性; 參考:《華南理工大學(xué)》2014年碩士論文


【摘要】:互聯(lián)網(wǎng)時(shí)代出現(xiàn)了新型的大規(guī)模在線協(xié)作生產(chǎn),這種模式的核心在于生產(chǎn)行為的社區(qū)化,開源社區(qū)就是其中典型的代表。開源社區(qū)的開發(fā)模式是來自全世界各地方的軟件開發(fā)愛好者分工合作,以自愿為原則的參與在線協(xié)作生產(chǎn)的一種集體行為模式。由于開源社區(qū)項(xiàng)目開發(fā)中沒有物質(zhì)激勵(lì)且開發(fā)者參與均是以自愿為原則,開源社區(qū)目前面臨的最大的問題就是如何將組織社區(qū)以外的潛在用戶吸引到社區(qū)中自愿參與生產(chǎn)公共產(chǎn)品以保持開源社區(qū)項(xiàng)目的可持續(xù)性發(fā)展。故本文將研究問題定為開源社區(qū)項(xiàng)目的可持續(xù)性研究。本文的研究流程首先是通過對開源社區(qū)尤其是開源項(xiàng)目可持續(xù)性研究的文獻(xiàn)進(jìn)行分析研究,提出開源社區(qū)項(xiàng)目可持續(xù)性的研究問題。然后以Sourceforge開源社區(qū)為研究對象,在互聯(lián)網(wǎng)和大數(shù)據(jù)潮流的引領(lǐng)下確定利用互聯(lián)網(wǎng)手段和大數(shù)據(jù)技術(shù)對開源社區(qū)項(xiàng)目進(jìn)行信息抽取。指標(biāo)試探選取項(xiàng)目壽命、參與人數(shù)和下載量三類指標(biāo)作為開源社區(qū)項(xiàng)目可持續(xù)性分析指標(biāo),利用火車頭軟件對目標(biāo)指標(biāo)信息進(jìn)行抽取后根據(jù)網(wǎng)站分類及自定分類原則對抽取數(shù)據(jù)進(jìn)行清洗和匯總處理。最后針對研究問題開源社區(qū)項(xiàng)目可持續(xù)性對指標(biāo)信息進(jìn)行統(tǒng)計(jì)分析,根據(jù)統(tǒng)計(jì)分析結(jié)果從壽命、參與人數(shù)和下載量三個(gè)方面對不同開源社區(qū)項(xiàng)目可持續(xù)性進(jìn)行比較性研究。本研究的價(jià)值主要是有1)開源社區(qū)項(xiàng)目不存在一般管理學(xué)意義上的組織架構(gòu)和管理規(guī)則,其生產(chǎn)是依靠社區(qū)內(nèi)參與者基于自愿的原則,在沒有任何物質(zhì)獎勵(lì)的前提下進(jìn)行持續(xù)不斷的貢獻(xiàn)而實(shí)現(xiàn)的,沒有發(fā)現(xiàn)有學(xué)者對開源社區(qū)可持續(xù)性進(jìn)行比較研究的文獻(xiàn),所以該研究問題是該領(lǐng)域的一個(gè)新問題。2)信息抽取技術(shù)突破了火車頭軟件自身的信息抽取技術(shù)限制,利用抽取的信息二次組合構(gòu)建通暢的下載量抽取通路,對有類似挖掘需求的研究人員來說具有一定的參考價(jià)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.
【學(xué)位授予單位】:華南理工大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TP393.09

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 劉遷;焦慧;賈惠波;;信息抽取技術(shù)的發(fā)展現(xiàn)狀及構(gòu)建方法的研究[J];計(jì)算機(jī)應(yīng)用研究;2007年07期

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本文編號:1886723

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