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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/598645 |
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| author | Manjula Gandhi Selvaraj Devi Shree Jayabal Thenmozhi Srinivasan Palanisamy Balasubramanie |
| author_facet | Manjula Gandhi Selvaraj Devi Shree Jayabal Thenmozhi Srinivasan Palanisamy Balasubramanie |
| author_sort | Manjula Gandhi Selvaraj |
| collection | DOAJ |
| 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 | Article |
| id | doaj-art-f4cb6e8b1eff4770bb0a0631de07a88a |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-f4cb6e8b1eff4770bb0a0631de07a88a2025-02-03T01:26:16ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/598645598645Predicting Defects Using Information Intelligence Process Models in the Software Technology ProjectManjula Gandhi Selvaraj0Devi Shree Jayabal1Thenmozhi Srinivasan2Palanisamy Balasubramanie3Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu 641 014, IndiaDepartment of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu 641 014, IndiaDepartment of Computer Applications, Gnanamani College of Technology, AK Samuthiram, Pachal Post, Namakkal District, Tamil Nadu 637 018, IndiaDepartment of Computer Technology (PG), Kongu Engineering College, Perundurai, Tamil Nadu 638 052, IndiaA 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.http://dx.doi.org/10.1155/2015/598645 |
| spellingShingle | Manjula Gandhi Selvaraj Devi Shree Jayabal Thenmozhi Srinivasan Palanisamy Balasubramanie Predicting Defects Using Information Intelligence Process Models in the Software Technology Project The Scientific World Journal |
| 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 |
| url | http://dx.doi.org/10.1155/2015/598645 |
| work_keys_str_mv | AT manjulagandhiselvaraj predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject AT devishreejayabal predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject AT thenmozhisrinivasan predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject AT palanisamybalasubramanie predictingdefectsusinginformationintelligenceprocessmodelsinthesoftwaretechnologyproject |