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Literature Survey on Automatic Code Generation Techniques

Dipti Pawade*, Avani Sakhapara**, Sanyogita Parab***, Divya Raikar****, Ruchita Bhojane*****, Henali Mamania******

*-**Assistant Professor, Department of Information Technology, K.J. Somaiya College of Engineering, Mumbai, Maharashtra, India.

***-****** Student, Department of Information Technology, K.J. Somaiya College of Engineering, Mumbai, Maharashtra, India.

Periodicity:June - August'2018
DOI : https://doi.org/10.26634/jcom.6.2.15005

Abstract

Automation is the mechanism to replace the human intervention in any process by the machine. Here the authors have considered the automation in the area of computer programming where researchers have tried to ease up the job of programmer by providing different tools and techniques to generate the programming code. The aim of this paper is to explore the research done in this area and give insight to the available automatic code generation methodologies for different types of input generating the code in different programming languages. Summary of all the available techniques has been presented in the paper.

Keywords

Automatic Code Generation, XML Parsing, Neural Network, Image Processing, Java, C, HTML

How to Cite this Article?

Pawade, D., Sakhapara , A., Parab ,S., Raikar;D., Bhojane;R & Mamania;H. (2018). Literature Survey on Automatic Code Generation Techniques. i-manager’s Journal on Computer Science,6(2), 34-41. https://doi.org/10.26634/jcom.6.2.15005

References

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[12]. Pawade, D., Sakhapara, A., Parab, S., Raikar, D., Bhojane, R., Mamania, H. (2018). Automatic HTML code generation from Graphical User Interface image. 3^rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT 2018).

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