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Predicting Defects Using Information Intelligence Process Models in the Software Technology Project
A key differentiator in a competitive market place is customer satisfaction. As per Gartner 2012 report, only 75%–80% of IT projects are successful. Customer satisfaction should be considered as a part of business strategy. The associated project parameters should be proactively managed and the proj...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606042/ https://www.ncbi.nlm.nih.gov/pubmed/26495427 http://dx.doi.org/10.1155/2015/598645 |
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author | Selvaraj, Manjula Gandhi Jayabal, Devi Shree Srinivasan, Thenmozhi Balasubramanie, Palanisamy |
author_facet | Selvaraj, Manjula Gandhi Jayabal, Devi Shree Srinivasan, Thenmozhi Balasubramanie, Palanisamy |
author_sort | Selvaraj, Manjula Gandhi |
collection | PubMed |
description | A key differentiator in a competitive market place is customer satisfaction. As per Gartner 2012 report, only 75%–80% of IT projects are successful. Customer satisfaction should be considered as a part of business strategy. The associated project parameters should be proactively managed and the project outcome needs to be predicted by a technical manager. There is lot of focus on the end state and on minimizing defect leakage as much as possible. Focus should be on proactively managing and shifting left in the software life cycle engineering model. Identify the problem upfront in the project cycle and do not wait for lessons to be learnt and take reactive steps. This paper gives the practical applicability of using predictive models and illustrates use of these models in a project to predict system testing defects thus helping to reduce residual defects. |
format | Online Article Text |
id | pubmed-4606042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46060422015-10-22 Predicting Defects Using Information Intelligence Process Models in the Software Technology Project Selvaraj, Manjula Gandhi Jayabal, Devi Shree Srinivasan, Thenmozhi Balasubramanie, Palanisamy ScientificWorldJournal Research Article A key differentiator in a competitive market place is customer satisfaction. As per Gartner 2012 report, only 75%–80% of IT projects are successful. Customer satisfaction should be considered as a part of business strategy. The associated project parameters should be proactively managed and the project outcome needs to be predicted by a technical manager. There is lot of focus on the end state and on minimizing defect leakage as much as possible. Focus should be on proactively managing and shifting left in the software life cycle engineering model. Identify the problem upfront in the project cycle and do not wait for lessons to be learnt and take reactive steps. This paper gives the practical applicability of using predictive models and illustrates use of these models in a project to predict system testing defects thus helping to reduce residual defects. Hindawi Publishing Corporation 2015 2015-10-01 /pmc/articles/PMC4606042/ /pubmed/26495427 http://dx.doi.org/10.1155/2015/598645 Text en Copyright © 2015 Manjula Gandhi Selvaraj et al. 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 Selvaraj, Manjula Gandhi Jayabal, Devi Shree Srinivasan, Thenmozhi Balasubramanie, Palanisamy Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title | Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title_full | Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title_fullStr | Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title_full_unstemmed | Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title_short | Predicting Defects Using Information Intelligence Process Models in the Software Technology Project |
title_sort | predicting defects using information intelligence process models in the software technology project |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606042/ https://www.ncbi.nlm.nih.gov/pubmed/26495427 http://dx.doi.org/10.1155/2015/598645 |
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