BUILDING A MODEL FOR CALCULATING THE RELEASE TIME OF SOFTWARE IMPROVEMENTS AFTER THE IMPLEMENTATION OF THE RELEASE CYCLE MANAGEMENT SYSTEM

The paper proposes a mathematical model for calculating the release time of a new software release. This model allows you to evaluate the difference between the operation of a production system during the release cycle and after it. The relevance of the proposed methodology determines the need for its application to the problem of assessing the effectiveness of an information complex and an automated release process cycle. The object of the study is the information department of the bank, ensuring automation – the process of estimating the release time of software improvements. The goal of the work is to build a model for calculating the release time of software improvements after the implementation of a release cycle management system, ensuring regular, fast and stable implementation of new software versions. To achieve this goal, within the framework of the work, an architectural solution for a system that automates the release cycle process was designed; a new process of personnel interaction was modeled after the implementation of the release cycle system; a pipeline for automatic delivery of software to an industrial environment and a process for automatic packaging of software into containers have been developed; a mathematical model was built to calculate the release time of software improvements after the release cycle management system. To solve these problems, we used the Gitlab CI/CD class system, which provides the ability to automatically assemble containers and deploy them into environments, and the Deckhouse system for container orchestration.

Authors

Publication Details

Journal
Research Result Information Technologies
Published
2024-09-30
DOI
https://doi.org/10.18413/2518-1092-2024-9-3-0-5
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

BUILDING A MODEL FOR CALCULATING THE RELEASE TIME OF SOFTWARE IMPROVEMENTS AFTER THE IMPLEMENTATION OF THE RELEASE CYCLE MANAGEMENT SYSTEM

Tikhon Olegovich Mironov, Natalya Nikolaevna Seredenko
1 links
Research Result Information Technologies
Software Engineering Techniques and Practices
article

BUILDING A MODEL FOR CALCULATING THE RELEASE TIME OF SOFTWARE IMPROVEMENTS AFTER THE IMPLEMENTATION OF THE RELEASE CYCLE MANAGEMENT SYSTEM

Tikhon Olegovich Mironov, Natalya Nikolaevna Seredenko
article en

Abstract

The paper proposes a mathematical model for calculating the release time of a new software release. This model allows you to evaluate the difference between the operation of a production system during the release cycle and after it. The relevance of the proposed methodology determines the need for its application to the problem of assessing the effectiveness of an information complex and an automated release process cycle. The object of the study is the information department of the bank, ensuring automation – the process of estimating the release time of software improvements. The goal of the work is to build a model for calculating the release time of software improvements after the implementation of a release cycle management system, ensuring regular, fast and stable implementation of new software versions. To achieve this goal, within the framework of the work, an architectural solution for a system that automates the release cycle process was designed; a new process of personnel interaction was modeled after the implementation of the release cycle system; a pipeline for automatic delivery of software to an industrial environment and a process for automatic packaging of software into containers have been developed; a mathematical model was built to calculate the release time of software improvements after the release cycle management system. To solve these problems, we used the Gitlab CI/CD class system, which provides the ability to automatically assemble containers and deploy them into environments, and the Deckhouse system for container orchestration.

Research Result Information TechnologiesVol. 9(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Software Engineering Techniques and Practices
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