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Automation of full-scale regression testing of radio monitoring equipment
Author(s) -
P E Bizyukov,
Dmytro S. Radchenko,
A B Tokarev,
Boris V. Matveev,
V N Povetko,
S A Slinchuk
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/5/052018
Subject(s) - automation , computer science , software , process (computing) , field (mathematics) , set (abstract data type) , reliability engineering , scale (ratio) , interface (matter) , regression testing , software system , software engineering , engineering , software construction , operating system , programming language , mechanical engineering , physics , mathematics , bubble , quantum mechanics , maximum bubble pressure method , pure mathematics
Modern means of radio monitoring (RM) are complex hardware and software systems based on SDR (Software-defined Radio) technology. The software (SW) modernization of RM complexes requires the parallel work of large teams of developers. Introducing insufficiently coordinated changes in the software is accompanied by the risk of conflicts, failures and other side effects in the long-used software elements. In this case, failures do not always manifest themselves on mathematical models of systems, and sometimes they are found only in the framework of field tests. Delays in detecting such failures can significantly slow down the process of software modernization; therefore, it is very important for developers of RM tools to have a mechanism for the fastest and most accurate detection of problem situations that accompany the operation of equipment in real-life conditions. Recommendations on the creation of a mechanism for regression testing the performance of RM tools are given in this article. This mechanism is based on the development of a set of tests for a system that automatically controls both the item to be checked and the monitoring, signal-generating and measuring equipment, and is capable of interacting with the interface modules of the RM complexes without operator intervention. It is shown that the proposed testing methodology allows several times reducing the time spent searching for problematic situations of the functioning of RM in real operating conditions.

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