Optimization Criteria for Effort Estimation using Fuzzy Technique

Effective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of systematic steps that provide estimate with acceptable risk. Some prevalent LOC based models are- Bailey Basili model, Al...

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Main Authors: Harish Mittal, Pradeep Bhatia
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2007-06-01
Series:CLEI Electronic Journal
Subjects:
Online Access:http://clei.org/cleiej-beta/index.php/cleiej/article/view/294
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author Harish Mittal
Pradeep Bhatia
author_facet Harish Mittal
Pradeep Bhatia
author_sort Harish Mittal
collection DOAJ
description Effective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of systematic steps that provide estimate with acceptable risk. Some prevalent LOC based models are- Bailey Basili model, Alaa F. Sheta G.E. Model, and Alaa F. Sheta, Model 2 .Two new models, based on fuzzy logic sizing, are presented in this paper. Rather than using a single number, the software size is regarded as a triangular fuzzy number. We can optimize the estimated effort for any application by varying arbitrary constants for these models. The developed models are tested on 10 NASA software projects, on the basis of four criterions for assessment of software cost estimation models. Comparison of all the models, cited above, is done and it is found that the developed models provide better estimation.
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spelling doaj.art-53ac781a25f34e4e9c7d2a14f73074cf2022-12-21T18:11:47ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002007-06-0110110.19153/cleiej.10.1.2Optimization Criteria for Effort Estimation using Fuzzy TechniqueHarish Mittal0Pradeep Bhatia1Department of Computer Science Vaish College of EngineeringDepartment of Computer Science and Engineering G.J. University of Science and TechnologyEffective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of systematic steps that provide estimate with acceptable risk. Some prevalent LOC based models are- Bailey Basili model, Alaa F. Sheta G.E. Model, and Alaa F. Sheta, Model 2 .Two new models, based on fuzzy logic sizing, are presented in this paper. Rather than using a single number, the software size is regarded as a triangular fuzzy number. We can optimize the estimated effort for any application by varying arbitrary constants for these models. The developed models are tested on 10 NASA software projects, on the basis of four criterions for assessment of software cost estimation models. Comparison of all the models, cited above, is done and it is found that the developed models provide better estimation.http://clei.org/cleiej-beta/index.php/cleiej/article/view/294LOC based modelsNASA Software ProjectsFuzzy logicTriangular Fuzzy NumberMembership function and Fuzziness
spellingShingle Harish Mittal
Pradeep Bhatia
Optimization Criteria for Effort Estimation using Fuzzy Technique
CLEI Electronic Journal
LOC based models
NASA Software Projects
Fuzzy logic
Triangular Fuzzy Number
Membership function and Fuzziness
title Optimization Criteria for Effort Estimation using Fuzzy Technique
title_full Optimization Criteria for Effort Estimation using Fuzzy Technique
title_fullStr Optimization Criteria for Effort Estimation using Fuzzy Technique
title_full_unstemmed Optimization Criteria for Effort Estimation using Fuzzy Technique
title_short Optimization Criteria for Effort Estimation using Fuzzy Technique
title_sort optimization criteria for effort estimation using fuzzy technique
topic LOC based models
NASA Software Projects
Fuzzy logic
Triangular Fuzzy Number
Membership function and Fuzziness
url http://clei.org/cleiej-beta/index.php/cleiej/article/view/294
work_keys_str_mv AT harishmittal optimizationcriteriaforeffortestimationusingfuzzytechnique
AT pradeepbhatia optimizationcriteriaforeffortestimationusingfuzzytechnique