Analyzing natural-language artifacts of the software process

Maryam Hasan, Eleni Stroulia, Denilson Barbosa, Manar H. Alalfi
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引用次数: 10

Abstract

Software teams, as they communicate throughout the life-cycle of their projects, generate a substantial stream of textual data. Through emails and chats, developers discuss the requirements of their software system, they negotiate the distribution of tasks among them, and they make decisions about the system design, and the internal structure and functionalities of its code modules. The software research community has long recognized the importance and potential usefulness of such textual information. In this paper, we discuss our recent work on systematically analyzing several textual streams collected through our WikiDev2.0 tool. We use two different text-analysis methods to examine five different sources of textual data. We report on our experience using our method on analyzing the communications of a nine-member team over four months.
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分析软件过程的自然语言工件
软件团队在其项目的整个生命周期中进行通信时,会生成大量文本数据流。通过电子邮件和聊天,开发人员讨论他们的软件系统的需求,他们在他们之间协商任务的分配,他们对系统设计、代码模块的内部结构和功能做出决定。软件研究社区早就认识到这种文本信息的重要性和潜在的有用性。在本文中,我们讨论了我们最近的工作,系统地分析了通过我们的WikiDev2.0工具收集的几个文本流。我们使用两种不同的文本分析方法来检查五种不同的文本数据来源。我们报告我们的经验,使用我们的方法来分析一个9人团队在4个月内的沟通。
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