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ETA: Estimated Time of Answer Predicting Response Time in Stack Overflow

机译:ETA:估计的答案时间可预测堆栈溢出中的响应时间

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Question and Answer (Q&A) sites help developers dealing with the increasing complexity of software systems and third-party components by providing a platform for exchanging knowledge about programming topics. A shortcoming of Q&A sites is that they provide no indication on when an answer is to be expected. Such an indication would help, for example, the developers who posed the questions in managing their time. We try to fill this gap by investigating whether and how answering time for a question posed on Stack Overflow, a prominent example of Q&A websites, can be predicted considering its tags. To this aim, we first determine the types of answers to be considered valid answers to the question, after which the answering time was predicted based on similarity of the set of tags. Our results show that the classification is correct in 30%-35% of the cases.
机译:问与答(Q&A)站点通过提供一个平台来交换有关编程主题的知识,可以帮助开发人员应对软件系统和第三方组件日益增加的复杂性。问答站点的不足之处在于,它们无法提供预期答案的指示。例如,这样的指示将有助于提出问题的开发人员管理他们的时间。我们尝试通过调查是否可以以及考虑到其标签可以预测Q&A网站的一个杰出示例Stack Overflow上提出的问题的答案时间来填补这一空白。为此,我们首先确定被认为是问题的有效答案的答案类型,然后根据标签集的相似性来预测答案时间。我们的结果表明,在30%-35%的情况下分类是正确的。

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