A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso

Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it...

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Main Authors: Katia Cristina A. Damaceno Borges, Iris Fabiana de Barcelos Tronto, Renato de Aquino Lopes, José Demisio Simões da Silva
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2013-12-01
Series:CLEI Electronic Journal
Online Access:http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/106
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spelling doaj-697c17f2d83841cebf27819e6e18b5c52020-11-24T22:17:59ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002013-12-0116310.19153/cleiej.16.3.7A Data Pre-Processing Method for Software Effort Estimation Using Case-Based ReasoKatia Cristina A. Damaceno BorgesIris Fabiana de Barcelos TrontoRenato de Aquino LopesJosé Demisio Simões da Silva Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and availability data, thus requiring a systematic data treatment. In this paper, it is proposed a data pre-processing method for use in software effort estimate. The results of it on applying on applying Case Based Reasoning - CBR that enables us to enhance the precision of the estimates. http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/106
collection DOAJ
language English
format Article
sources DOAJ
author Katia Cristina A. Damaceno Borges
Iris Fabiana de Barcelos Tronto
Renato de Aquino Lopes
José Demisio Simões da Silva
spellingShingle Katia Cristina A. Damaceno Borges
Iris Fabiana de Barcelos Tronto
Renato de Aquino Lopes
José Demisio Simões da Silva
A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
CLEI Electronic Journal
author_facet Katia Cristina A. Damaceno Borges
Iris Fabiana de Barcelos Tronto
Renato de Aquino Lopes
José Demisio Simões da Silva
author_sort Katia Cristina A. Damaceno Borges
title A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
title_short A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
title_full A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
title_fullStr A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
title_full_unstemmed A Data Pre-Processing Method for Software Effort Estimation Using Case-Based Reaso
title_sort data pre-processing method for software effort estimation using case-based reaso
publisher Centro Latinoamericano de Estudios en Informática
series CLEI Electronic Journal
issn 0717-5000
publishDate 2013-12-01
description Software effort estimates is an important part of software development work and provides essential input to project feasibility analyses, bidding, budgeting and planning. Analogy-based estimates models emerge as a promising approach, with comparable accuracy to arithmetic methods, and it is potentially easier to understand and apply. Studies show all the models are sensitive to the quality and availability data, thus requiring a systematic data treatment. In this paper, it is proposed a data pre-processing method for use in software effort estimate. The results of it on applying on applying Case Based Reasoning - CBR that enables us to enhance the precision of the estimates.
url http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/106
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