分析由注释引起的堆栈溢出更新

2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) Pub Date : 2019-05-26 DOI:10.1109/MSR.2019.00044

Abhishek Soni, Sarah Nadi

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引用次数: 9

摘要

Stack Overflow是大量技术问题和答案的家园。这些答案还包括来自社区和其他用户对答案有效性的评论。这样的评论可能会指出发布的答案中的缺陷，或者可能会指出由于API更改而不再有效的弃用代码。在本文中，我们使用SOTorrent数据集探讨评论如何影响Stack Overflow上的答案更新。我们的结果表明，Stack Overflow上的大量答案没有更新，即使他们收到需要更新的评论。我们的结果可以用来建立自动识别需要更新的答案的推荐系统，甚至可以根据需要自动更新答案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analyzing Comment-Induced Updates on Stack Overflow

Stack Overflow is home to a large number of technical questions and answers. These answers also include comments from the community and other users about the answer's validity. Such comments may point to flaws in the posted answer or may indicate deprecated code that is no longer valid due to API changes. In this paper, we explore how comments affect answer updates on Stack Overflow, using the SOTorrent dataset. Our results show that a large number of answers on Stack Overflow are not updated, even when they receive comments that warrant an update. Our results can be used to build recommender systems that automatically identify answers that require updating, or even automatically update answers as needed.

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来源期刊

2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR)

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