Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Selvaraj, Manjula Gandhi, Jayabal, Devi Shree, Srinivasan, Thenmozhi, Balasubramanie, Palanisamy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
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
_version_ 1782395300989632512
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
work_keys_str_mv AT selvarajmanjulagandhi predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject
AT jayabaldevishree predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject
AT srinivasanthenmozhi predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject
AT balasubramaniepalanisamy predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject