Quality Assurance Engineer.
World Journal of Advanced Research and Reviews, 2025, 28(02), 983-989
Article DOI: 10.30574/wjarr.2025.28.2.3797
Received on 16 September 2025; revised on 08 November 2025; accepted on 11 November 2025
The paper examines one of the main problems of the modern construction industry - the discrepancy between the parameters embedded in building information models (BIM) and the actual data reflected in the executive documentation. The purpose of the study is to substantiate an end-to-end approach to testing that allows automating the verification of compliance of design models with the actual state of objects in digital construction management platforms. The methodological basis is a system analysis of existing studies in the field of quality control in construction and adaptation of software testing principles, in particular the behavior-driven development (BDD) methodology, which made it possible to widely explore the topic. As a result, a conceptual framework is proposed that integrates the collection of field data (laser scanning, photogrammetric survey), their spatial semantic comparison with the BIM model and automated generation of reports on the identified discrepancies. The scientific novelty lies in the unification of heterogeneous sources of information (BIM models, executive schemes) in a single continuous verification cycle, similar to the CI/CD pipeline, which increases the accuracy, efficiency and objectivity of construction work control. The results obtained will be of interest to construction site managers, quality engineers, BIM managers and developers of digital platforms for the construction industry.
Building Information Modeling; BIM; End-To-End Testing; Executive Documentation; Data Verification; Digital Platforms; Construction Control; Automation; Project Compliance; Quality Management
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Khudenko Daniil. Application of end-to-end testing methods to verify compliance of BIM models and as-built documentation in digital platforms. World Journal of Advanced Research and Reviews, 2025, 28(02), 983-989. Article DOI: https://doi.org/10.30574/wjarr.2025.28.2.3797.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0