RISK MANAGEMENT FRAMEWORK REVIEW FOR LAGER SCALE SCRUM

Abstract

Project risk management is an essential component. The main goal of risk management is to identify hazards early on in the project and take the appropriate actions to reduce them. In the realm of software development, it is critical and vital to effectively prioritise risk that arises. One of the key objectives of using agile development methodologies is to reduce risk, which results in more effective and successful information systems. Agile approaches to distributed software development are being adopted by organisations to generate high quality work in a shorter amount of time. Many software-based projects have recently
transitioned to dispersed agile development projects. Due to the fact that these projects are spread out over a large-scale area, cost savings and proximity to the market are their main benefits. The creation of large-scale scrum projects has special risks for risk management, particularly the obstacles posed by team collaboration when there is no set method for communication or cooperation. A key component for the success of big scrum teams is team collaboration and the sharing of crucial information. Therefore, in a large-scale scrum setting, it is crucial to develop a dynamic strategy that promotes team communication and collaboration. Therefore, we will examine a paradigm for risk management in large-scale scrum employing outer meta data requests in this study. This framework aims to coordinate requests from several teams. As a result, it combats hazards and threats to project completion as well as the lack of team collaboration. Additionally, it makes the sharing of team information, experience, and abilities easier. Two distinct case studies were examined using the suggested methodology. The proposed framework's viability was shown through its implementation and evaluation.