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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

4GL Code Generation: A Systematic Review

Author 1: Abdullah A H Alzahrani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 6 · Published 2020 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2020.0110623

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Abstract

Code generation is longstanding goal in software engineering. It allows more productivity of computer programming as it aims to provide automation of transformation of models into actual source code. This process has been covered adequately in many programming languages. However, this topic has not been covered sufficiently with regards to Fourth Generation Languages (4GL) which have a high specialized nature. The goal of this paper is to represent a systematic literature review of 4GL Code generation. The paper focuses on reviewing systemically the studies published in the past 20 years on the topic. This is to investigate the trends in the topic and the approaches introduced in order to identify potential new research lines.

Keywords

Software engineering code transformation 4GL code generation Model Driven Development (MDD) Extraction Transform Load (ETL) Model Driven Engineering (MDE) Rapid Application Development (RAD)

How to Cite this Article

Alzahrani, A. A. H. (2020). 4GL Code Generation: A Systematic Review. International Journal of Advanced Computer Science and Applications, 11(6). https://doi.org/10.14569/IJACSA.2020.0110623

Alzahrani, Abdullah A H. "4GL Code Generation: A Systematic Review." International Journal of Advanced Computer Science and Applications, vol. 11, no. 6, 2020, https://doi.org/10.14569/IJACSA.2020.0110623.

@article{Alzahrani2020,
  title     = {4GL Code Generation: A Systematic Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {6},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Abdullah A H Alzahrani},
  doi       = {10.14569/IJACSA.2020.0110623},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110623}
}

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