Analyzing Current Approaches to Assessing the Quality of Software Products
https://doi.org/10.21686/2413-2829-2022-6-207-218
Abstract
Information technologies are the fastest developing industry today both in global economy and economy of Russia. Serious attention is paid to methodological aspects of quality management. Raising quality of software products is an objective of implementing the national project ‘Digital Economy of the Russian Federation’. Processes and stages of software development are modified with regard to new requirements to end product in accordance with adopted home standards. Thus the goal of improving the quality of software products is really topical. The quality of software product is influenced by various determinate and casual external and internal factors. Home experience of managing software quality refers to both western experience and works by Russian scientists, such as G. G. Azgal’dov, Yu. P. Adler, I. G. Venetskiy, V. V. Lipaev, S. D. Il’enkova, I. F. Shishkin, P. L. Chenyshev, V. M. Mishin. The article studies methods of managing software product quality that are used in home IT companies and carries out their comparative analysis. The author formulated proposals aiming at identification of drawbacks by using methods of cognitive modeling.
About the Author
A. A. Drozhkin
Plekhanov Russian University of Economics
Russian Federation
Russian Federation
Alexandr А. Drozhkin - Post-Graduate Student of the Department for Applied Informatics and Information Security
36 Stremyanny Lane, Moscow, 117997
References
1. Belladzhio D., Milligan T. Razrabotka programmnogo obespecheniya: upravlenie izmeneniyami [Software Development: Change Management]. Moscow, DMK Press, 2009. (In Russ.).
2. Gordienko V. V., Lisitsin A. L. Tekhnicheskie i organizatsionnye metody borby s vnutrennimi ugrozami utechki informatsii organizatsiy i predpriyatiy [Technical and Organizational Methods of Struggle with Internal Threats of Information Leakage of Organizations and Enterprises]. AUDITORIUM, 2019, No. 4 (24), pp. 69–76. (In Russ.).
3. Koubern A. Lyudi kak nelineynye i naibolee vazhnye komponenty v sozdanii programmnogo obespecheniya [People as Nonlinear and Most Important Components in Software Creation]. Moscow, Human and Technology, 1999. (In Russ.).
4. Mikryukov A. A. Aktualnye zadachi tsifrovoy transformatsii ekonomiki RF [Actual Tasks of Digital Transformation of the Russian Economy]. Innovatsii i investitsii [Innovation and Investment], 2018, No. 4, pp. 65–68. (In Russ.).
5. Mikryukov A. A. Kognitivnye tekhnologii v sistemakh podderzhki prinyatiya resheniy v tsifrovoy ekonomike [Cognitive Technologies in Decision Support Systems in the Digital Economy]. Innovatsii i investitsii [Innovation and Investment], 2018, No. 6, pp. 127–131. (In Russ.).
6. Mikryukov A. A., Mazurov M. E. Kognitivnaya model stsenarnogo prognozirovaniya osnovnykh vektorov internatsionalizatsii deyatelnosti universiteta [Cognitive Model of Scenario Forecasting of the Main Vectors of Internationalization of University Activities]. NEYROINFORMATIKA-2020: sbornik nauchnykh trudov. XXII Mezhdunarodnaya nauchnotekhnicheskaya konferentsiya [NEUROINFORMATICS-2020. Collection of scientific papers. 22nd International Scientific and Technical Conference]. Moscow, 2020, pp. 232–241. (In Russ.).
7. Permyakova N. V., Ekhlakov Yu. P. Nechetkaya model otsenki reytinga riskoobrazuyushchikh faktorov programmnogo proekta [Fuzzy Model for Assessing the Rating of Risk Factors of the Program Project]. Aktualnye problemy elektronnogo priborostroeniya (APEP- 2016): materialy XIII Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii, 3–6 oktyabrya 2016 g. [Actual Problems of Electronic Instrumentation (APEP-2016): materials of the 13th International scientific-technical conference, October 3–6, 2016]. Novosibirsk, Izd-vo Novosibirsk State Technical University, 2016, Vol. 8, pp. 67–71. (In Russ.).
8. Permyakova N. V., Usacheva P. I., Renner V. O. Kognitivnoe modelirovanie v upravlenii riskami programmnykh proektov [Cognitive Modeling in Risk Management of Software projects]. Elektronnye sredstva i sistemy upravleniya: materialy XII Mezhdunarodnoy nauchnoprakticheskoy konferentsii, 16–18 noyabrya 2016 g. [Electronic Means and Control Systems: Materials of the 12th International Scientific and Practical Conference, November 16–18, 2016]. Tomsk, Izd-vo Tomsk. State University of Control Systems and Radioelectronics, 2016, pp. 108–110. (In Russ.).
Review
For citations:
Drozhkin A.A. Analyzing Current Approaches to Assessing the Quality of Software Products. Vestnik of the Plekhanov Russian University of Economics. 2022;(6):207-218. (In Russ.) https://doi.org/10.21686/2413-2829-2022-6-207-218
Views:
389
Email this article 