Automatically Mining Negative Code Examples from Software Developer Q & A Forums

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dc.contributor.author Serva, Ryan
dc.contributor.author Senzer, Zachary
dc.contributor.author Pollock, Lori
dc.contributor.author Vijay-Shanker, K.
dc.date.accessioned 2015-09-27T13:11:16Z
dc.date.available 2015-09-27T13:11:16Z
dc.date.issued 2015-11
dc.identifier.uri http://servo.cs.wlu.edu/pubs/handle/id/306
dc.description.abstract In addition to learning good practices and reusing code from mining code examples, programmers can be supported in their learning and code improvement processes through negative, or poorly written, code examples. While it is challenging to identify negative code examples automatically from within source code, we leverage a key insight that the natural language in questions that include code examples posted on forums can provide adequate clues. In this paper, we describe an automatic sentiment analysis-based technique for mining negative code examples from developer question and answer forums along with a technique to automatically mine negative sentiment indicators commonly used by developers, which are used to drive the sentiment-based technique. en_US
dc.description.sponsorship National Science Foundation en_US
dc.language.iso en_US en_US
dc.subject software mining en_US
dc.subject developer forums en_US
dc.subject sentiment analysis en_US
dc.title Automatically Mining Negative Code Examples from Software Developer Q & A Forums en_US
dc.type In Conference Proceedings *
dc.booktitle Fourth International Workshop on Software Mining (SoftMine) with ASE en_US
dc.project Natural Language Program Analysis en_US

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