A Novel ICA-based Estimator for Software Cost Estimation
One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science and Research Branch,Islamic Azad University
2015-11-01
|
| Series: | Journal of Advances in Computer Engineering and Technology |
| Subjects: | |
| Online Access: | http://jacet.srbiau.ac.ir/article_8043_55f73f99d851bc328cb3fbf6b45d32c9.pdf |
| _version_ | 1818855561788129280 |
|---|---|
| author | Behrouz Sadeghi Vahid Khatibi Bardsiri Monireh Esfandiari Farzad Hosseinzadeh |
| author_facet | Behrouz Sadeghi Vahid Khatibi Bardsiri Monireh Esfandiari Farzad Hosseinzadeh |
| author_sort | Behrouz Sadeghi |
| collection | DOAJ |
| description | One of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular models for SCE proposed by Barry Boehm in 1981. However COCOMO81 is an old estimation model, it has been widely used for the purpose of cost estimation in its new forms. In this paper, the Imperialism Competition Algorithm (ICA) has been employed to tune the COCOMO81 parameters. Experimental results show that in the separated COCOMO81 dataset, ICA can estimate the COCOMO81 model parameters such that the performance parameters are significantly improved. The proposed hybrid model is flexible enough to tune the parameters for any data sets in form of COCOMO81. |
| first_indexed | 2024-12-19T08:10:34Z |
| format | Article |
| id | doaj.art-116f08744826453ba94833c8a14e2a8a |
| institution | Directory Open Access Journal |
| issn | 2423-4192 2423-4206 |
| language | English |
| last_indexed | 2024-12-19T08:10:34Z |
| publishDate | 2015-11-01 |
| publisher | Science and Research Branch,Islamic Azad University |
| record_format | Article |
| series | Journal of Advances in Computer Engineering and Technology |
| spelling | doaj.art-116f08744826453ba94833c8a14e2a8a2022-12-21T20:29:39ZengScience and Research Branch,Islamic Azad UniversityJournal of Advances in Computer Engineering and Technology2423-41922423-42062015-11-011415248043A Novel ICA-based Estimator for Software Cost EstimationBehrouz Sadeghi0Vahid Khatibi Bardsiri1Monireh Esfandiari2Farzad Hosseinzadeh3Kerman Branch, Islamic AzadUniversityKerman Branch, Islamic AzadUniversityKerman Branch, Islamic AzadUniversityKerman Branch, Islamic AzadUniversityOne of the most important and valuable goal of software development life cycle is software cost estimation or SCE. During the recent years, SCE has attracted the attention of researchers due to huge amount of software project requests. There have been proposed so many models using heuristic and meta-heuristic algorithms to do machine learning process for SCE. COCOMO81 is one of the most popular models for SCE proposed by Barry Boehm in 1981. However COCOMO81 is an old estimation model, it has been widely used for the purpose of cost estimation in its new forms. In this paper, the Imperialism Competition Algorithm (ICA) has been employed to tune the COCOMO81 parameters. Experimental results show that in the separated COCOMO81 dataset, ICA can estimate the COCOMO81 model parameters such that the performance parameters are significantly improved. The proposed hybrid model is flexible enough to tune the parameters for any data sets in form of COCOMO81.http://jacet.srbiau.ac.ir/article_8043_55f73f99d851bc328cb3fbf6b45d32c9.pdfCOCOMO81software cost estimationAccuracymeta-heuristicimperialism competition algorithm |
| spellingShingle | Behrouz Sadeghi Vahid Khatibi Bardsiri Monireh Esfandiari Farzad Hosseinzadeh A Novel ICA-based Estimator for Software Cost Estimation Journal of Advances in Computer Engineering and Technology COCOMO81 software cost estimation Accuracy meta-heuristic imperialism competition algorithm |
| title | A Novel ICA-based Estimator for Software Cost Estimation |
| title_full | A Novel ICA-based Estimator for Software Cost Estimation |
| title_fullStr | A Novel ICA-based Estimator for Software Cost Estimation |
| title_full_unstemmed | A Novel ICA-based Estimator for Software Cost Estimation |
| title_short | A Novel ICA-based Estimator for Software Cost Estimation |
| title_sort | novel ica based estimator for software cost estimation |
| topic | COCOMO81 software cost estimation Accuracy meta-heuristic imperialism competition algorithm |
| url | http://jacet.srbiau.ac.ir/article_8043_55f73f99d851bc328cb3fbf6b45d32c9.pdf |
| work_keys_str_mv | AT behrouzsadeghi anovelicabasedestimatorforsoftwarecostestimation AT vahidkhatibibardsiri anovelicabasedestimatorforsoftwarecostestimation AT monirehesfandiari anovelicabasedestimatorforsoftwarecostestimation AT farzadhosseinzadeh anovelicabasedestimatorforsoftwarecostestimation AT behrouzsadeghi novelicabasedestimatorforsoftwarecostestimation AT vahidkhatibibardsiri novelicabasedestimatorforsoftwarecostestimation AT monirehesfandiari novelicabasedestimatorforsoftwarecostestimation AT farzadhosseinzadeh novelicabasedestimatorforsoftwarecostestimation |