In the research, the techniques designed to ensure the quality of advanced IT solutions for embedded systems are explored, that is of such single-purpose systems that are directly embedded in a supersystem controlled by them. Quality indicators are ambiguous and defined by function, organization type of information models, requirements level, development parameters, users, etc., and system functionality matrices reflect this. The review of software testing models was finalised as well as the technique to choose the best testing strategy by functionality matrix. The problem of regression testing efficiency at the sake of a reduced cost of resources has been considered at a given level of the required quality and testing enhancement by increasing a proportion of errors found prior to a software operation stage based on calculated quality indicators. The procedure is provided to calculate software quality indicators by estimating a number of requests for changes and lines in a source code to evaluate testing completion and readiness for operation. By applying elaborated procedures and algorithms, the targeted minimization of the cost of resources for regression testing with a given quality is successfully achieved.
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22 June 2022
PROCEEDINGS OF THE II INTERNATIONAL CONFERENCE ON ADVANCES IN MATERIALS, SYSTEMS AND TECHNOLOGIES: (CAMSTech-II 2021)
29–31 July 2021
Krasnoyarsk, Russian Federation
Research Article|
June 22 2022
Quality estimation method in advanced software systems
A. I. Vlasov;
A. I. Vlasov
a)
Bauman Moscow State Technical University
, Moscow, Russian Federation
a)Corresponding author: [email protected]
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B. V. Artemiev;
B. V. Artemiev
b)
Bauman Moscow State Technical University
, Moscow, Russian Federation
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L. V. Juravleva
L. V. Juravleva
c)
Bauman Moscow State Technical University
, Moscow, Russian Federation
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AIP Conf. Proc. 2467, 050011 (2022)
Citation
A. I. Vlasov, B. V. Artemiev, L. V. Juravleva; Quality estimation method in advanced software systems. AIP Conf. Proc. 22 June 2022; 2467 (1): 050011. https://doi.org/10.1063/5.0093003
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