Towards Challenges Faced in Agile Risk Management Practices

Abstract

Agility is a necessity for enterprises as a result of their critical need to respond swiftly to a fast changing environment. “Tomorrow problems are today's risk.” So, a problem that may result in some damage or endanger the progress of the project but has not done so is a “risk,” according to the definition. These potential problems that occur could also have a bad impact on the technical success, project's budget, timetable the product's quality, or the team's morale. The process of recognizing, addressing, and removing these issues before they affect the project is known as risk management. We must distinguish between risks, which are future difficulties, and the project's ongoing challenges. A lot of challenges might be there in project. It's crucial to sort different risks into different categories in order to systematically identify the key risks that might have an effect over the software project. Optimizing the traditional risk modelling approach to investigate software system vulnerabilities is the main goal. Using machine learning techniques improves the use of data generated during software development processes. To improve current risk modelling techniques, a lot of industry knowledge about security vulnerabilities can be used. In this paper the study of challenges with risk management is initially presented and the attitudes towards these issues are then elaborated, building on the features of how these challenges can be solved. Ultimately, solutions to each of the challenges are given based on the traits The work done here is an integral component of Agile-based software development processes. Based on the notions derived from how the studied literature has tackled each of the difficulties, five steps were determined and they are as follows-Collection of the possible risk factors Refinement of risks; Risk mitigation; transfer of knowledge and escalation. The conclusion described here could be used as an initial point to guide proj ect developers and the managers in structuring their proj ects with cybersecurity risk management in mind, promoting less overburdened agile processes, stakeholder insights on pertinent issues.