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 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.
Department of Computer Applications, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu 641 014, India.
Manjula Gandhi
MG
Selvaraj
Department of Electrical and Electronics Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu 641 014, India.
Devi Shree
DS
Jayabal
Department of Computer Applications, Gnanamani College of Technology, AK Samuthiram, Pachal Post, Namakkal District, Tamil Nadu 637 018, India.
Thenmozhi
T
Srinivasan
Department of Computer Technology (PG), Kongu Engineering College, Perundurai, Tamil Nadu 638 052, India.
Palanisamy
P
Balasubramanie