An Empirical Evaluation of Assorted Risk Management Models and Frameworks in Software Development

Alankrita Aggarwal, Kanwalvir Singh Dhindsa and P. K. Suri
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Alankrita Aggarwal: IKG Punjab Technical University, Jallandhar Punjab, India
Kanwalvir Singh Dhindsa: Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib Punjab, India
P. K. Suri: Kurukshetra University, Kurukshetra, India

International Journal of Applied Evolutionary Computation (IJAEC), 2020, vol. 11, issue 1, 52-62

Abstract: Software risk management is one the key factors in software project management with the goal to improve quality as avoid vulnerabilities. The term defect refers to an imperfection that may arise because of reasons including programmers' skills, lack of suitable testing strategies, and many others. When actual results are different from expected result or meeting wrong requirement, it is called defect and it forms the basis of risk escalation in a software project which is obviously not accepted in any type of deployment. Making a reliable software should be risk free from any vulnerability. Along with reliability another issue arises is software quality which is a factor with software risk management. The quality of software is to reduce the occurrence of risks and defects with the objective to produce an effectual value software which is key point of consideration. In this article, is underlined the present assorted risk management strategies proposed and projected by a number of researchers and academicians on the different parameters using benchmark datasets from renowned sources of research.

Date: 2020
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