MATH MODELING

Quantitative assessment of information process performance via modeling and statistical analysis

L. A. Myl'nikov^ab, D. È. Kunakbaev^a, A. A. Ivanov<sup>a

a</sup> National Research University "Higher School of Economics", Perm Branch, Perm, Russia
^b Tambov State Technical University, Tambov, Russia

Abstract: The article explores a method for quantitative research of the effectiveness of information infrastructure, systems, and process activities using the Event-driven Process Methodology (EdPM) notation and the results of simulation modeling for structural-functional models. To assess effectiveness, statistical data obtained from simulation modeling and graph analysis methods are used. A modified version of the PageRank algorithm is presented, enabling the ranking of nodes based on the number of accesses and analyzing loading times depending on the calculation step. A sequence of steps is proposed to obtain quantitative efficiency estimates, thereby allowing for the comparison of structural-functional models while considering the conditions in which they operate. The article includes an example of deriving efficiency estimates for a structural-functional model of a multi-production project management process.

Keywords: Event-driven Process Methodology, EdPM, Structure-Function Modeling, Simulation, PageRank, Performance of the structural-functional model.

DOI: 10.14357/20718632250309

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