CREATING A SIMULATION MODEL OF SOFTWARE TESTING PROCESSES IN AN AUTOMATED CONTROL SYSTEM FOR TECHNOLOGICAL PROCESSES USING QUEUING THEORY

Bukarev Anton Vladimirovich

This article describes the process of creating a simulation model of software testing processes in an automated control system for technological processes (ACS TP) using queuing theory and the Monte Carlo method in Python programming language. The article covers module testing, automated testing using a prototype, manual testing using a prototype, as well as automated testing using a prototype and remote procedure call. The research objectives are aimed at optimizing the testing process and improving the quality and reliability of software. Four tasks were set and solved to achieve these goals. The article also describes the simulation results, which showed that using queuing theory and the Monte Carlo method to create a simulation model is an effective way to optimize the testing process and improve the quality and reliability of software in ACS TP.

Keywords:software testing, simulation model, automated testing, manual testing, remote procedure call