Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers
In recent years, many researchers and software industries have given significant attention to the estimation of software effort. Software effort estimation is a challenge that often appears in the project of making software. To address this issue, various software expansion cost estimations have bee...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-10-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2023.2216540 |
| _version_ | 1797245058871721984 |
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| author | A. Salinda Eveline Suniram J. Charles |
| author_facet | A. Salinda Eveline Suniram J. Charles |
| author_sort | A. Salinda Eveline Suniram |
| collection | DOAJ |
| description | In recent years, many researchers and software industries have given significant attention to the estimation of software effort. Software effort estimation is a challenge that often appears in the project of making software. To address this issue, various software expansion cost estimations have been familiarized. A basic traditional method for cost estimation is the Constructive Cost Model II (COCOMO II Model), which generates huge gradations of substantiality. The proposed COCOMO II model employs cost drivers, measures and the streak of programmes to predict the energy and the growth period of a web rise. However, the model is still lacking in terms of accuracy in effort and development time estimation. In this study, we do investigate the influence of components and attributes to achieve new better accuracy improvement on the COCOMO II model. The NASA93 dataset is used to test the suggested methodology. The system has outperformed earlier investigations and arrangements capable of imperfect data input, and further advancements in the reliability of the estimated technique. |
| first_indexed | 2024-03-10T15:57:56Z |
| format | Article |
| id | doaj.art-83ddca816b0841adb356874f3135f469 |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-04-24T19:20:52Z |
| publishDate | 2023-10-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-83ddca816b0841adb356874f3135f4692024-03-25T18:18:03ZengTaylor & Francis GroupAutomatika0005-11441848-33802023-10-0164497198010.1080/00051144.2023.2216540Analysis of cost estimation using the web metrics and cost driver in the high performance of web developersA. Salinda Eveline Suniram0J. Charles1Department of Software Engineering, Noorul Islam Center for Higher Education, Kumaracoil, ThuckalayDepartment of Software Engineering, Noorul Islam Center for Higher Education, Kumaracoil, ThuckalayIn recent years, many researchers and software industries have given significant attention to the estimation of software effort. Software effort estimation is a challenge that often appears in the project of making software. To address this issue, various software expansion cost estimations have been familiarized. A basic traditional method for cost estimation is the Constructive Cost Model II (COCOMO II Model), which generates huge gradations of substantiality. The proposed COCOMO II model employs cost drivers, measures and the streak of programmes to predict the energy and the growth period of a web rise. However, the model is still lacking in terms of accuracy in effort and development time estimation. In this study, we do investigate the influence of components and attributes to achieve new better accuracy improvement on the COCOMO II model. The NASA93 dataset is used to test the suggested methodology. The system has outperformed earlier investigations and arrangements capable of imperfect data input, and further advancements in the reliability of the estimated technique.https://www.tandfonline.com/doi/10.1080/00051144.2023.2216540Coradmo Modeleffort estimationtime development estimationoptimization |
| spellingShingle | A. Salinda Eveline Suniram J. Charles Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers Automatika Coradmo Model effort estimation time development estimation optimization |
| title | Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| title_full | Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| title_fullStr | Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| title_full_unstemmed | Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| title_short | Analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| title_sort | analysis of cost estimation using the web metrics and cost driver in the high performance of web developers |
| topic | Coradmo Model effort estimation time development estimation optimization |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2023.2216540 |
| work_keys_str_mv | AT asalindaevelinesuniram analysisofcostestimationusingthewebmetricsandcostdriverinthehighperformanceofwebdevelopers AT jcharles analysisofcostestimationusingthewebmetricsandcostdriverinthehighperformanceofwebdevelopers |