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On End-to-End Program Generation from User Intention by Deep Neural Networks

https://arxiv.org/pdf/1510.07211.pdf

论文 Source Code Classification Using Deep Learning:http://blog.aylien.com/source-code-classification-using-deep-learning/

推荐一个网站,http://githut.info/ 

参考资料

 

DeepSoft: A vision for a deep model of software

https://arxiv.org/pdf/1608.00092.pdf

 

 

Deep Learning Program Analysis: A New Paradigm for Analyzing Computer Programs:

https://project.inria.fr/se-seminars/deep-learning-program-analysis-a-new-paradigm-for-analyzing-computer-programs-2/

 

Deep Learning Program Analysis: A New Paradigm for Analyzing Computer Programs:

https://project.inria.fr/se-seminars/deep-learning-program-analysis-a-new-paradigm-for-analyzing-computer-programs-2/

 

Deep learning code fragments for code clone detection:

http://dl.acm.org/citation.cfm?id=2970326

DeepSoft: a vision for a deep model of software

http://dl.acm.org/citation.cfm?doid=2950290.2983985

Is it possible to use machine learning to make a program that can program?

https://www.quora.com/Is-it-possible-to-use-machine-learning-to-make-a-program-that-can-program

QbitLogic

http://www.qbitlogic.com/technology/

落库

日志

分支选择

数据关注

 

https://innovatorsrace50.com/team/qbitlogic-1.html

 

重点资料:

http://codecasesoftware.com/news/166-extracting-business-logic-from-cod.html

https://www.deepalgo.com/fr/extracting-business-logic-code-2/

 

 

BPMN VS. UML ACTIVITY DIAGRAM FOR BUSINESS PROCESS MODELING

http://www.cig.ase.ro/repec/ami/articles/11_4_7.pdf

Code2Flow

https://code2flow.com/

Where is the business logic?

https://www.researchgate.net/publication/262330506_Where_is_the_business_logic

VisiCodeMiner

https://www.visionetsystems.com/visicodeminer

Visualize code

https://msdn.microsoft.com/en-us/library/dd409365.aspx

How to visualize code

https://softwareengineering.stackexchange.com/questions/9761/how-to-visualize-code

 

自动编程 —— Translating Natural Language to Code

https://www.transifex.com/blog/2013/translate-natural-language-to-code/

 

测试自动化生成

https://arxiv.org/pdf/1508.00671.pdf

 

https://randoop.github.io/randoop/

http://www.evosuite.org/

 

Adaptive Automation: Leveraging Machine Learning to Support Uninterrupted Automated Testing of Software Applications

https://arxiv.org/pdf/1508.00671.pdf

 

引文搜索

引用了 Toward deep learning software repositories 的文章

https://scholar.google.com/scholar?um=1&ie=UTF-8&lr&cites=123190306529193144

http://dl.acm.org/citation.cfm?id=2902362

http://ieeexplore.ieee.org/abstract/document/7332513/?reload=true

http://dl.acm.org/citation.cfm?id=3097421

 

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