DeepSumm -- Deep Code Summaries using Neural Transformer Architecture

The relevance of software documentation, tools and technologies: A survey

Andrew Forward and Timothy C. Lethbridge · 2002

Earlier work this paper cites.

Bleu: A method for automatic evaluation of machine translation

Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002

Earlier work this paper cites.

On the use of automated text summarization techniques for summarizing source code

Sonia Haiduc, Jairo Aponte, Laura Moreno, and Andrian Marcus · 2010

Earlier work this paper cites.

A simple domain-independent probabilistic approach to generation

Gabor Angeli, Percy Liang, and Dan Klein · 2010

Earlier work this paper cites.

Automatic generation of natural language summaries for java classes

Laura Moreno, Jairo Aponte, Giriprasad Sridhara, Andrian Marcus, Lori L. Pollock, and K. Vijay-Shanker · 2013

Earlier work this paper cites.

A global model for concept-to-text generation

Ioannis Konstas and Mirella Lapata · 2013

Earlier work this paper cites.

Neural machine translation by jointly learning to align and translate, 2014

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014

Cited alongside, same era.

Sequence to sequence learning with neural networks, 2014

Ilya Sutskever, Oriol Vinyals, and Quoc V. Le · 2014

Cited alongside, same era.

Effective approaches to attention-based neural machine translation, 2015

Minh-Thang Luong, Hieu Pham, and Christopher D. Manning · 2015

Cited alongside, same era.

Summarizing source code using a neural attention model

Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, and Luke Zettlemoyer · 2016

Cited alongside, same era.

Layer normalization, 2016

Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016

Cited alongside, same era.

Attention is all you need, 2017

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017

Deep code comment generation

Xing Hu, Ge Li, Xin Xia, David Lo, and Zhi Jin · 2018

Later among the works it cites.

Torchtext.data.metrics, 2018

Original

Torch Contributors · 2018

Later among the works it cites.

Code generation as a dual task of code summarization, 2019

Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, and Zhi Jin · 2019

Later among the works it cites.

A neural model for generating natural language summaries of program subroutines, 2019

Alexander LeClair, Siyuan Jiang, and Collin McMillan · 2019

Later among the works it cites.

Recommendations for datasets for source code summarization, 2019

Alexander LeClair and Collin McMillan · 2019

Later among the works it cites.