Development of Fuzzy based intelligent System for Assessment of Risk Estimation in Software project for Hospitals Network
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 1433-1442
AbstractOne of the major concerns of software industries is to develop invulnerable and secure software. A project is successful if it is delivered within provided time constraints with the required quality. The aim of this research is to enhance the project planning phase by risk assessment at the start of software development life cycle. The proposed model is developed to accurate estimation of risk in software project. The software risk estimation model is being made using neuro-fuzzy approach which is beneficial to the project manager in the first phase of software development life cycle. This methodology is different from the other risk assessment process as it uses the vague factors of different type of risk parameters in software projects. Two main activities of project planning phase are risk assessment and effort estimation. Effort estimation is mostly influencing with the probability of risk estimation at the early phase of software development life cycle. Implement result shows that it reduces risk caused due to vague parameters in software projects. The intelligent system so developed is also capable of identifying the risk of similar kind in any software project for hospital network system.
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