Learning to answer programming questions with software documentation through social context embedding
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Li, Jing; Sun, Aixin; Xing, Zhenchang
Description
Official software documentation provides a comprehensive overview of software usages, but not on specific programming tasks or use cases. Often there is a mismatch between the documentation and a question on a specific programming task because of different wordings. We observe from Stack Overflow that the best answers to programmers’ questions often contain links to formal documentation. In this paper, we propose a novel deep-learning-to-answer framework, named QDLinker, for answering...[Show more]
Collections | ANU Research Publications |
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Date published: | 2018 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/143599 |
Source: | Information Sciences |
DOI: | 10.1016/j.ins.2018.03.014 |
Access Rights: | Open Access |
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1-s2.0-S0020025517303845-main.pdf | 1.71 MB | Adobe PDF | ![]() |
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