Software Cost Estimation: Algorithmic and Non-Algorithmic Approaches

Authors

  • Bilal Khan City University of Science and Information Technology, Peshawar https://orcid.org/0000-0002-6816-3776
  • Wahab Khan City University of Science and Information Technology, Peshawar, Pakistan
  • Muhammad Arshad Institute of Business and Management Sciences, University of Agriculture, Peshawar, Pakistan
  • Nazir Jan University of Engineering and Technology, Peshawar, Pakistan

DOI:

https://doi.org/10.69511/ijdsaa.v2i2.73

Keywords:

Software Cost Estimation, Software Cost Estimation Methods, Algorithmic, Non-algorithmic Approaches

Abstract

Software Development Organizations develop a huge number of projects on a yearly basis. One of the main issues is that which tool can be selected for an accurate estimation of the cost of software projects. Software cost estimation (SCE) is one of the main objectives of any project. SCE directly introduces almost all management events including resources allocation, project planning, and project bidding. In this study, some important SCE methods have been studied for comparative analysis and this has been concluded that none of the methods are essential inferior or superior to others, as there is no individual approach that is finest for every situation. The selection of the method is depending upon the nature of the project.

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Published

2020-03-21

How to Cite

Khan, B., Khan, W., Arshad, M., & Jan, N. (2020). Software Cost Estimation: Algorithmic and Non-Algorithmic Approaches. International Journal of Data Science and Advanced Analytics, 2(1), 1–5. https://doi.org/10.69511/ijdsaa.v2i2.73

Issue

Vol. 2 No. 1 (2020)

Section

Articles

License

Creative Commons License
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