The problems of embedded systems special software effective testing and their elaboration
The paper examines the problem of sustainable testing of special software for embedded systems under conditions of rapid hardware evolution, configuration variability, and shortened update cycles. It shows that modern embedded products are characterized by a partial separation of hardware and softwa...
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| Date: | 2026 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2026
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/891 |
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| Journal Title: | Problems in programming |
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Problems in programming| Summary: | The paper examines the problem of sustainable testing of special software for embedded systems under conditions of rapid hardware evolution, configuration variability, and shortened update cycles. It shows that modern embedded products are characterized by a partial separation of hardware and software life cycles, a growing role of controlled firmware updates, component reuse, and the integration of computer vision and artificial intelligence algorithms. It is substantiated that, in such conditions, testing should not be limited to defect detection, but should also support quality forecasting, integration decisions, and the accumulation of reusable testing assets. The study summarizes typical embedded-system architectures and approaches to constructing special software, including layered and microservice-oriented architectures, test-driven development, agile methods, model-based development, and continuous integration, continuous testing, quality assurance, and security practices. The role of XiL approaches, configuration management, and artifact traceability in ensuring environment reproducibility is highlighted. Sustainable reuse of testing work products within the software product line paradigm is proposed as a basis for increasing the maturity of development and testing processes for special embedded software.Problems in programming 2026; 1: 51-65 |
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