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Research Article | Open Access |

Software Development Effort Estimation by Means of Genetic Programming

Author 1: Arturo Chavoya Author 2: Cuauhtemoc Lopez-Martin Author 3: M.E. Meda-Campaña
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 4, No. 11 · Published 2013

DOI: 10.14569/IJACSA.2013.041115

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Abstract

In this study, a genetic programming technique was used with the goal of estimating the effort required in the development of individual projects. Results obtained were compared with those generated by a statistical regression and by a neural network that have already been used to estimate the development effort of individual software projects. A sample of 132 projects developed by 40 programmers was used for generating the three models and another sample of 77 projects developed by 24 programmers was used for validating the three models. Results in the accuracy of the model obtained from genetic programming suggest that it could be used to estimate software development effort of individual projects.

Keywords

genetic programming feedforward neural network software effort estimation statistical regression

How to Cite this Article

Chavoya, A., Lopez-Martin, C., & Meda-Campaña, M. (2013). Software Development Effort Estimation by Means of Genetic Programming. International Journal of Advanced Computer Science and Applications, 4(11). https://doi.org/10.14569/IJACSA.2013.041115

Chavoya, Arturo, et al.. "Software Development Effort Estimation by Means of Genetic Programming." International Journal of Advanced Computer Science and Applications, vol. 4, no. 11, 2013, https://doi.org/10.14569/IJACSA.2013.041115.

@article{Chavoya2013,
  title     = {Software Development Effort Estimation by Means of Genetic Programming},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {11},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Arturo Chavoya and Cuauhtemoc Lopez-Martin and M.E. Meda-Campaña},
  doi       = {10.14569/IJACSA.2013.041115},
  url       = {https://doi.org/10.14569/IJACSA.2013.041115}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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Call for Papers - Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026
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