The model of SCRUM master selection using fuzzy sets

Abstract

Problem. The complexity of software is constantly growing. Today a user is interested in software that is integrated into all aspects of their life. Creating a large number of diverse software applications is impossible without the formation of a software development team. Agile methodologies are used to develop most modern programs. The most common is the SCRUM methodology. Team working is managed by a SCRUM master, which is the interface between the owner and the project team. Therefore, choosing an effective SCRUM master is an urgent task. Aim The work aims to increase the efficiency of software development projects by developing the SCRUM master selection model using fuzzy sets, which will consider the individual characteristics and advantages of the SCRUM project team members. Methodology. The methods and principles of fuzzy mathematics are used. Decision-making methods in the conditions of fuzzy input data were used to develop a model for choosing a SCRUM master for a software development project. Results. Today, there are many variants of models for software development projects. The choice of one or another option depends on the features and requirements of the project. A fuzzy model for choosing a SCRUM master for managing a software development project has been developed. An example of work distribution between performers using the theory of fuzzy sets is given. Calculations were made in Microsoft Excel. Originality. The developed model allows choosing a SCRUM master in the conditions of fuzzy information about the individual preferences of the areas of the software development project team. Practical value. Using the proposed SCRUM master selection model for a software development project will improve project team communication and reduce the development time. In addition, the proposed model can be used to select a SCRUM master for other projects.