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Technology of relational database management systems performance evaluation during computer systems design

НазваTechnology of relational database management systems performance evaluation during computer systems design
Назва англійськоюTechnology of relational database management systems performance evaluation during computer systems design
АвториVasyl Yatsyshyn, Oleh Pastukh, Andriy Palamar, Ruslan Zharovskyi
ПринадлежністьTernopil Ivan Puluj National Technical University, Ternopil, Ukraine
Бібліографічний описTechnology of relational database management systems performance evaluation during computer systems design / Vasyl Yatsyshyn, Oleh Pastukh, Andriy Palamar, Ruslan Zharovskyi // Scientific Journal of TNTU. — Tern.: TNTU, 2023. — Vol 109. — No 1. — P. 54–65.
Bibliographic description:Yatsyshyn V., Pastukh O., Palamar A., Zharovskyi R. (2023) Technology of relational database management systems performance evaluation during computer systems design. Scientific Journal of TNTU (Tern.), vol 109, no 1, pp. 54–65.
DOI: https://doi.org/10.33108/visnyk_tntu2023.01.054
УДК

004.4

Ключові слова

technology, evaluation, productivity, database management system, computer system.

Based on the recommendations of the international standard ISO 25010, a formalized technology for evaluating the performance of relational database management systems in the design of computer systems has been developed. Attributes and metrics of the performance characteristics were defined and elementary functions for evaluating the quality of their implementation were developed. The procedures for planning and performing evaluation processes are substantiated, which makes it possible to quantitatively express the quality of both an individual attribute and their aggregate in the form of sub-characteristics and characteristics of the external quality model. The proposed technology provides flexibility and formalizes the process of choosing the best DBMS alternatives, taking into account the type and requirements of a specific designed computer system.

ISSN:2522-4433
Перелік літератури
  1. Saha P., Mittal M., Gupta S., Sharawi M. Big Data Trends and Analytics: A Survey. International Journal of Computer Applications. 180 (8). 2017. P. 9–20.
  2. Rawat R., Yadav R. Big Data: Big Data Analysis, Issues and Challenges and Technologies. 1st International Conference on Computational Research and Data Analytics (ICCRDA 2020) 24th October 2020. P. 1–8.
  3. Kovtun B. V., Manych A. M., Romanyuk O. V. Porivnyalʹna kharakterystyka relyatsiynykh ta NoSQL
    baz danykh. Materialy XLIX naukovo-tekhnichnoyi konferentsiyi pidrozdiliv VNTU, Vinnytsya,
    27–28 kvitnya 2020 r. URL: https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/ 9907 (data zvernennya: 27.01.2023 r.)
  4. Yatsyshyn V. V. Tekhnolohiya otsinyuvannya yakosti WEB-zastosuvanʹ. Visnyk Ternopilʹsʹkoho derzhavnoho tekhnichnoho universytetu. 2009. Tom 14. Р. 132–140.
  5. Sommerville I. Engineering software products. Pearson, 2020. 352 p.
  6. Sommerville I., Lock R., Storer T., Dobson J. Deriving Information Requirements from Responsibility Models. Proc. CAiSE 2009. 21st International Conference on Advanced Information Systems Engineering, Amsterdam, June 2009. Р. 515–529.
  7. Chang E., Dillon T., Sommerville І., Wongthongtham P. Development of a Software Engineering Ontology for Multi-site Software Development. IEEE Transactions on Knowledge and Data Engineering, 2009. Р. 1205–1207.
  8. Rubey R., Hartwick R. Quantitive measurement of program quality. Proceedings, ACM, International conference. 1968. P. 671–677.
  9. Hrytsyuk YU. I. Systema kompleksnoho otsinyuvannya yakosti prohramnoho zabezpechennya. Naukovyy visnyk NLTU Ukrayiny. 2022. T. 32. Nо. 2. Р. 81–95.
  10. Kovalʹ H. Pidkhid do keruvannya nadiynistyu ta yakistyu prohramnykh system. Problemy prohramuvannya. 2007. Nо. 2. Р. 56–68.
  11. ISO/IEC (2011). ISO/IEC 25010 – “Systems and Software Engineering – Systems and Software Quality Requirements and Evaluation (SQuaRE)” – System and Software Quality Models. Technical report. 2011.
  12. Kharchenko A., Galay I., Yatcyshyn V. The method of quality management software. 2011 Proceedings of 7th International Conference on Perspective Technologies and Methods in MEMS Design, MEMSTECH 2011. Polyana, 2011. Р. 82–84
  13. Yatsyshyn V., Pastukh O., Lutskiv A., Tsymbalistyy V., Martsenko N. A Risks management method based on the quality requirements communication method in agile approaches. Information technologies: theoretical and applied problems, 2022. P. 1–10.
  14. Harchenko A., Bodnarchuk I., Yatcyshyn V. The modeling and optimization of software engineering processes. Modern Problems of Radio Engineering, Telecommunications and Computer Science – Proceedings of the 11th International Conference, TCSET'2012. Lviv: Slavske, 2012. p. 326.
  15. Kovalʹ H. Pidkhid do modelyuvannya yakosti simeystv prohramnykh system. Problemy prohramuvannya. Nо. 4. 2009. Р. 49–58.
     
References:
  1. Saha P., Mittal M., Gupta S., Sharawi M. Big Data Trends and Analytics: A Survey. International Journal of Computer Applications. 180 (8). 2017. P. 9–20.
  2. Rawat R., Yadav R. Big Data: Big Data Analysis, Issues and Challenges and Technologies. 1st International Conference on Computational Research and Data Analytics (ICCRDA 2020) 24th October 2020. P. 1–8.
  3. Kovtun B. V., Manych A. M., Romanyuk O. V. Porivnyalʹna kharakterystyka relyatsiynykh ta NoSQL
    baz danykh. Materialy XLIX naukovo-tekhnichnoyi konferentsiyi pidrozdiliv VNTU, Vinnytsya,
    27–28 kvitnya 2020 r. URL: https://conferences.vntu.edu.ua/index.php/all-fitki/all-fitki-2020/paper/view/ 9907 (data zvernennya: 27.01.2023 r.)
  4. Yatsyshyn V. V. Tekhnolohiya otsinyuvannya yakosti WEB-zastosuvanʹ. Visnyk Ternopilʹsʹkoho derzhavnoho tekhnichnoho universytetu. 2009. Tom 14. Р. 132–140.
  5. Sommerville I. Engineering software products. Pearson, 2020. 352 p.
  6. Sommerville I., Lock R., Storer T., Dobson J. Deriving Information Requirements from Responsibility Models. Proc. CAiSE 2009. 21st International Conference on Advanced Information Systems Engineering, Amsterdam, June 2009. Р. 515–529.
  7. Chang E., Dillon T., Sommerville І., Wongthongtham P. Development of a Software Engineering Ontology for Multi-site Software Development. IEEE Transactions on Knowledge and Data Engineering, 2009. Р. 1205–1207.
  8. Rubey R., Hartwick R. Quantitive measurement of program quality. Proceedings, ACM, International conference. 1968. P. 671–677.
  9. Hrytsyuk YU. I. Systema kompleksnoho otsinyuvannya yakosti prohramnoho zabezpechennya. Naukovyy visnyk NLTU Ukrayiny. 2022. T. 32. Nо. 2. Р. 81–95.
  10. Kovalʹ H. Pidkhid do keruvannya nadiynistyu ta yakistyu prohramnykh system. Problemy prohramuvannya. 2007. Nо. 2. Р. 56–68.
  11. ISO/IEC (2011). ISO/IEC 25010 – “Systems and Software Engineering – Systems and Software Quality Requirements and Evaluation (SQuaRE)” – System and Software Quality Models. Technical report. 2011.
  12. Kharchenko A., Galay I., Yatcyshyn V. The method of quality management software. 2011 Proceedings of 7th International Conference on Perspective Technologies and Methods in MEMS Design, MEMSTECH 2011. Polyana, 2011. Р. 82–84
  13. Yatsyshyn V., Pastukh O., Lutskiv A., Tsymbalistyy V., Martsenko N. A Risks management method based on the quality requirements communication method in agile approaches. Information technologies: theoretical and applied problems, 2022. P. 1–10.
  14. Harchenko A., Bodnarchuk I., Yatcyshyn V. The modeling and optimization of software engineering processes. Modern Problems of Radio Engineering, Telecommunications and Computer Science – Proceedings of the 11th International Conference, TCSET'2012. Lviv: Slavske, 2012. p. 326.
  15. Kovalʹ H. Pidkhid do modelyuvannya yakosti simeystv prohramnykh system. Problemy prohramuvannya. Nо. 4. 2009. Р. 49–58.
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