Software Effort Estimation for COCOMO-II Projects Using Artificial Neural Network

Kiran Kumar T.m and Yashvanth Kumar K.p
Additional contact information
Kiran Kumar T.m: Assistant.Professor, Dept of MCA, Siddaganga Institute of Technology, Tumkur, India
Yashvanth Kumar K.p: Project Student, Dept of MCA, Siddaganga Institute of Technology, Tumkur, India

International Journal of Research and Scientific Innovation, 2020, vol. 7, issue 6, 129-132

Abstract: Software failures are mainly caused by defective projects management practices, including estimates of effort. Constant changing outlines of requirements and the technology software development make estimating efforts more complicated. Several methods are available to Estimate the effort of the soft computing-based method. The development effort needed for a project should be measured by software. It is important to estimate the construction effort required before any project is initially initiated. It is one of the greatest and most demanding tasks ever. The software cost estimate deals with a lot of uncertainty between all neural computing methods. In this paper we have used the historical COCOMO II data set projects using the artificial neural network technique to predict the effort estimation. We have used the mat lab tool for estimation. The experiment outputs suggest that the suggested model can provide better results and accurately forecast the software development effort.

Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijrsi/d ... -issue-6/129-132.pdf (application/pdf)
https://www.rsisinternational.org/virtual-library/ ... cial-neural-network/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bjc:journl:v:7:y:2020:i:6:p:129-132

Access Statistics for this article

International Journal of Research and Scientific Innovation is currently edited by Dr. Renu Malsaria

More articles in International Journal of Research and Scientific Innovation from International Journal of Research and Scientific Innovation (IJRSI)
Bibliographic data for series maintained by Dr. Renu Malsaria ().