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Development and Application of New Quality Model for Software Projects
The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the resi...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4248366/ https://www.ncbi.nlm.nih.gov/pubmed/25478594 http://dx.doi.org/10.1155/2014/491246 |
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author | Karnavel, K. Dillibabu, R. |
author_facet | Karnavel, K. Dillibabu, R. |
author_sort | Karnavel, K. |
collection | PubMed |
description | The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects. |
format | Online Article Text |
id | pubmed-4248366 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-42483662014-12-04 Development and Application of New Quality Model for Software Projects Karnavel, K. Dillibabu, R. ScientificWorldJournal Research Article The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the STDCM are highlighted. The application of the STDCM is explored in software projects. The implementation of the model is validated using statistical inference, which shows there is a significant improvement in the quality of the software projects. Hindawi Publishing Corporation 2014 2014-11-16 /pmc/articles/PMC4248366/ /pubmed/25478594 http://dx.doi.org/10.1155/2014/491246 Text en Copyright © 2014 K. Karnavel and R. Dillibabu. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Karnavel, K. Dillibabu, R. Development and Application of New Quality Model for Software Projects |
title | Development and Application of New Quality Model for Software Projects |
title_full | Development and Application of New Quality Model for Software Projects |
title_fullStr | Development and Application of New Quality Model for Software Projects |
title_full_unstemmed | Development and Application of New Quality Model for Software Projects |
title_short | Development and Application of New Quality Model for Software Projects |
title_sort | development and application of new quality model for software projects |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4248366/ https://www.ncbi.nlm.nih.gov/pubmed/25478594 http://dx.doi.org/10.1155/2014/491246 |
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