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Reseach Article

Efforts Estimation by Use Case Point using Experience Data

by Chetan Nagar, Anurag Dixit
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 17
Year of Publication: 2013
Authors: Chetan Nagar, Anurag Dixit

Chetan Nagar, Anurag Dixit . Efforts Estimation by Use Case Point using Experience Data. International Journal of Computer Applications. 61, 17 ( January 2013), 14-17. DOI=10.5120/10019-4888

@article{ 10.5120/10019-4888,
author = { Chetan Nagar, Anurag Dixit },
title = { Efforts Estimation by Use Case Point using Experience Data },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 17 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 14-17 },
numpages = {9},
url = { },
doi = { 10.5120/10019-4888 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T21:09:40.944302+05:30
%A Chetan Nagar
%A Anurag Dixit
%T Efforts Estimation by Use Case Point using Experience Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 17
%P 14-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA

Many software efforts estimation models and methods are invented to make efforts estimation accurate. Unfortunately no model or method is suitable for all kind of project and situations. it is frequently suggested that using experience data, estimation models and checklists can increase software effort estimation accuracy. However, there has been limited empirical research on the subject. It was found that in projects where experience data was utilized in the estimation process, they experienced a lesser magnitude of effort overruns. The use of a checklist also appeared to increase estimation accuracy. The utilization of an estimation model did not appear to have a substantial impact [08]. This paper is suggesting that use of estimation model can also produce good estimation results, but historical data is always necessary to assist the estimation. We can use historical data to improve the result of Use Case Point and COCOMO model . In our research we have gain 10% improvement in Use case Point model with use of historical data. This paper is also suggesting that a strong monitoring policy is always required to make your estimation as a success.

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Index Terms

Computer Science
Information Sciences


Software estimation experience data estimation models checklists COCOMO Use Case Point