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We propose a framework to automatically generate descriptive comments for source code blocks.
Finding structure in time
Jeffrey L Elman · 1990
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Hoogle overview
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Semi-supervised recursive autoencoders for predicting sentiment distributions
Richard Socher, Jeffrey Pennington, Eric H Huang, Andrew Y Ng, and Christopher D Manning · 2011
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Generating parameter comments and integrating with method summaries
Giriprasad Sridhara, Lori Pollock, and K Vijay-Shanker · 2011
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Generating text with recurrent neural networks
Improving automated source code summarization via an eye-tracking study of programmers
Paige Rodeghero, Collin McMillan, Paul W McBurney, Nigel Bosch, and Sidney D’Mello · 2014
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An enhanced approach for software bug localization using map reduce technique based apriori (mrtba) algorithm
A Adhiselvam, E Kirubakaran, and R Sukumar · 2015
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Suggesting accurate method and class names
Miltiadis Allamanis, Earl T Barr, Christian Bird, and Charles Sutton · 2015
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Deep visual-semantic alignments for generating image descriptions
Andrej Karpathy and Li Fei-Fei · 2015
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Dynamic model generation and semantic search for open source projects using big data analytics
Sravani Punyamurthula · 2015
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Code parallelization through sequential code search
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Ilya Sutskever, James Martens, and Geoffrey E Hinton · 2011
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Automatic generation of natural language summaries for java classes
Laura Moreno, Jairo Aponte, Giriprasad Sridhara, Andrian Marcus, Lori Pollock, and K Vijay-Shanker · 2013
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Natural language models for predicting programming comments
Dana Movshovitz-Attias and William W Cohen · 2013
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On the properties of neural machine translation: Encoder-decoder approaches
Kyunghyun Cho, Bart Van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
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Automatic documentation generation via source code summarization of method context
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Isabel Garcia-Contreras, Jose F Morales, and Manuel V Hermenegildo · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
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