Comparative analysis of stable matching algorithms for intelligent work planning of IT teams

The article is devoted to a comparative analysis of stable mapping algorithms for intelligent planning of work of IT teams working according to agile development methodologies. The authors consider the problem of effective task distribution between developers as a problem of finding stable mapping. The paper presents an overview of existing approaches to task distribution in project teams and justifies the relevance of studying stable mapping algorithms in this context. A research methodology is proposed, which includes the creation of a simulation environment for modeling the task distribution process, synthetic data generation, implementation and evaluation of five key algorithms: SOSM, EADAM, MESMA, RSD and TTC. The purpose of the study is to formulate recommendations for the implementation of stable mapping algorithms for planning and task distribution in IT teams using agile project management methodologies. According to the results of the experiments, the EADAM and SOSM algorithms are recommended for practical application due to their balance of stability, efficiency and satisfaction of performers