Software project estimation with machine learning

Zakaria, Noor Azura and Ismail, Amelia Ritahani and Yakath Ali, Afrujaan and Mohd Khalid, Nur Hidayah and Zainal Abidin, Nadzurah (2021) Software project estimation with machine learning. International Journal of Advanced Computer Science and Applications, 12 (6). pp. 726-734. ISSN 2158-107X E-ISSN 2156-5570

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Abstract

This project involves research about software effort estimation using machine learning algorithms. Software cost and effort estimation are crucial parts of software project development. It determines the budget, time and resources needed to develop a software project. One of the well-established software project estimation models is Constructive Cost Model (COCOMO) which was developed in the 1980s. Even though such a model is being used, COCOMO has some weaknesses and software developers still facing the problem of lack of accuracy of the effort and cost estimation. Inaccuracy in the estimated effort will affect the schedule and cost of the whole project as well. The objective of this research is to use several algorithms of machine learning to estimate the effort of software project development. The best machine learning model is chosen to compare with the COCOMO.

Item Type:	Article (Journal)
Additional Information:	8405/90804
Uncontrolled Keywords:	Software effort estimation; project estimation; constructive cost model; COCOMO; machine learning machine learning
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Dr. Noor Azura Zakaria
Date Deposited:	14 Jul 2021 09:31
Last Modified:	14 Jul 2021 09:31
URI:	http://irep.iium.edu.my/id/eprint/90804

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