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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 |

Software Cost Estimation using Enhanced Artificial Bee Colony Algorithm

Author 1: Sevgi Yigit-Sert Author 2: Pinar Kullu
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 4 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090412

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Abstract

Cost estimation is very important in software development progress so that resource and time planning can be successfully performed. Accurate estimation of cost is directly related to the decision making mechanism in the software development process. The underestimated cost might lead to fewer resources and budget problems; in contrast, customer satisfaction might diminish due to waste of resources. This study represents an estimation model for the effort required for the development of software projects using a variant of artificial bee colony (ABC) algorithm. The proposed model is performed over a dataset consisting of NASA software projects and has better performance than the previous studies.

Keywords

Software cost estimation enhanced artificial bee colony algorithm NASA software

How to Cite this Article

Yigit-Sert, S., & Kullu, P. (2018). Software Cost Estimation using Enhanced Artificial Bee Colony Algorithm. International Journal of Advanced Computer Science and Applications, 9(4). https://doi.org/10.14569/IJACSA.2018.090412

Yigit-Sert, Sevgi, and Pinar Kullu. "Software Cost Estimation using Enhanced Artificial Bee Colony Algorithm." International Journal of Advanced Computer Science and Applications, vol. 9, no. 4, 2018, https://doi.org/10.14569/IJACSA.2018.090412.

@article{Yigit-Sert2018,
  title     = {Software Cost Estimation using Enhanced Artificial Bee Colony Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {4},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Sevgi Yigit-Sert and Pinar Kullu},
  doi       = {10.14569/IJACSA.2018.090412},
  url       = {https://doi.org/10.14569/IJACSA.2018.090412}
}

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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