International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 112

Review Papers | Computer Science & Engineering | India | Volume 4 Issue 4, April 2015


Review on Cost Estimation Prediction Using ANN

Anshul [21] | Nitin Jain [9]


Abstract: Cost prediction is the process of estimating the effort required to develop a software system. Cost prediction is an important part of software development. Now days, software is the most expensive component of computer system. This paper provides a general overview of software cost estimation methods including the recent advances in the respective field. Algorithmic models such as SLOC, function point size estimation and COCOM model. Non-Algorithmic models such as analogy and expert judgment. Machine learning methods such as artificial neural networks and their techniques and fuzzy logic. This paper highlights the cost estimation models that have been proposed and used successfully and their comparison and applications.


Keywords: Algorithmic models, Cost Estimation Prediction, SLOC, Non-Algorithmic models, Machine learning models


Edition: Volume 4 Issue 4, April 2015,


Pages: 1060 - 1064


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How to Cite this Article?

Anshul, Nitin Jain, "Review on Cost Estimation Prediction Using ANN", International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015, pp. 1060-1064, https://www.ijsr.net/get_abstract.php?paper_id=SUB153112

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