Prioritizing and optimizing risk factors in agile software development

To ensure success and quality of a software, early identification and prioritization of the risk is necessary. Risk impacts the cost and duration for of a software. As agile practices of software development prevail over traditional software development, so they are used in present scenario. This paper proposes an Agile based Risk Rank (AR-Rank) method for the prioritization of risk factors in agile software development. To reduce the impact of risks, the proposed method provides precedence ranking of risk factors from high to low. Therefore, the goal of proposed method is to provide minimum risk-free software on time with varying degree of flexibility. For optimization of risk factors, the Particle Swarm Optimization (PSO) is applied as an iterative approach. The proposal is compared proposed with various prevalent approaches as proposed in past.