NDLI: A methodology for preprocessing data for application of case based reasoning

Content Provider	IEEE Xplore Digital Library
Author	Borges, K.C.A.D. de Aquino Lopes, R. de Barcelos Tronto, I.F. Simoes da Silva, J.D.
Copyright Year	2012
Description	Author affiliation: Universidade Federal de Viçosa - UFV-CRP, Rio Paranaíba, Brasil (de Aquino Lopes, R.; de Barcelos Tronto, I.F.) \|\| Instituto Nacional de Pesquisas Espaciais - INPE, Brasil (Simoes da Silva, J.D.) \|\| Universidade Federal de Viçosa - UFV- CRP, Rio Paranaíba, Brasil (Borges, K.C.A.D.)
Abstract	Produce quality software inside expected time and low cost has been one of the main challenges in the software industry today. Therefore, it is fundamental make estimates of size, effort, resources, cost and time spent in the software development process. Predictive models such as models based on analogy can be an alternative, especially in small and medium sized software development, they need perform reliable estimates. In this paper, we propose a methodology for pre-processing of data for use in software effort estimation. The results of use this methodology, applying Case Based Reasoning - CBR, indicate that the pre-processing enables to improve the accuracy of estimates.
Starting Page	1
Ending Page	8
File Size	365271
Page Count	8
File Format	PDF
ISBN	9781467307949
e-ISBN	9781467307932
DOI	10.1109/CLEI.2012.6427198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	Colombia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Accuracy of estimates Predictive models Effort estimation Cost management Software Cognition Servers Analysis of variance Business
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Analyzing the non-functional requirements to improve accuracy of software effort estimation through case based reasoning

A Software Cost Ontology System for Assisting Estimation of Software Project Effort for Use with Case-Based Reasoning

Domain specific phase by phase effort estimation in software projects

Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning

Notice of RetractionResearch on fast cost estimation of project in project family based on case based reasoning

Determining the Factors Affecting the Accuracy of Effort Estimates for Different Application and Task Types

A Treeboost Model for Software Effort Estimation Based on Use Case Points

Predicting business risk using combined case-based reasoning in Euclidean space

Effort estimation of ETL projects using Forward Stepwise Regression

A methodology for preprocessing data for application of case based reasoning

Similar Documents

Analyzing the non-functional requirements to improve accuracy of software effort estimation through case based reasoning

A Software Cost Ontology System for Assisting Estimation of Software Project Effort for Use with Case-Based Reasoning

Domain specific phase by phase effort estimation in software projects

Quantitative Analysis for Non-linear System Performance Data Using Case-Based Reasoning

Notice of RetractionResearch on fast cost estimation of project in project family based on case based reasoning

Determining the Factors Affecting the Accuracy of Effort Estimates for Different Application and Task Types

A Treeboost Model for Software Effort Estimation Based on Use Case Points

Predicting business risk using combined case-based reasoning in Euclidean space

Effort estimation of ETL projects using Forward Stepwise Regression

A methodology for preprocessing data for application of case based reasoning