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Popularity, Interoperability, and Impact of Programming Languages in 100,000 Open Source Projects

机译:编程语言在100,000个开源项目中的人气,互操作性和影响

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Programming languages have been proposed even before the era of the modern computer. As years have gone, computer resources have increased and application domains have expanded, leading to the proliferation of hundreds of programming languages, each attempting to improve over others or to address new programming paradigms. These languages range from procedural languages like C, object-oriented languages like Java, and functional languages such as ML and Haskell. Unfortunately, there is a lack of large scale and comprehensive studies that examine the "popularity", "interoperability", and "impact" of various programming languages. To fill this gap, this study investigates a hundred thousands of open source software projects from GitHub to answer various research questions on the "popularity", "interoperability" and "impact" of various languages measured in different ways (e.g., in terms of lines of code, development teams, issues, etc.).
机译:甚至在现代计算机的时代之前提出了编程语言。随着年多年来,计算机资源增加了增加,应用领域已经扩展,导致数百个编程语言的扩散,每种编程语言都试图改善他人或解决新的编程范例。这些语言的范围从像Java等面向对象的语言等程序语言,以及ML和Haskell等功能语言。不幸的是,缺乏大规模和综合研究,以研究各种编程语言的“人气”,“互操作性”和“影响”。为了填补这一差距,本研究调查了Github的数十万开源软件项目,以回答有关以不同方式测量的各种语言的“人气”,“互操作性”和“影响”的各种研究问题(例如,在线代码,开发团队,问题等)。

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