SOFTWARE QUALITY MODEL FOR TUNING THE CLASS OF POLYHARMONIC ACOUSTIC SIGNAL GENERATION SYSTEMS

Автор(и)

  • Vitalii Sychkov Автор

DOI:

https://doi.org/10.65237/2336-3630-2026-7(1)-8

Ключові слова:

software quality, ISO/IEC 25010, SQuaRE, tuning of musical instruments, acoustic signals

Анотація

The paper addresses the problem of software quality evaluation for automated professional tuning of acoustic string musical instruments. It is shown that modern approaches to software quality assurance are mainly based on the ISO/IEC 25000 SQuaRE series of standards. However, the basic ISO/IEC 25010 quality model does not fully consider the specific features of software intended for the analysis of polyharmonic acoustic signals and professional musical instrument tuning. An analysis of recent studies in the field of software quality modeling, assessment and evaluation has been conducted, demonstrating a transition from universal quality models to domain-oriented structures that incorporate specialized characteristics, metrics, and evaluation procedures. The purpose of the study is to extend the ISO/IEC 25010 product quality model in order to enable quality evaluation of software for tuning acoustic string musical instruments. Within the research, the performance efficiency characteristic of the ISO/IEC 25010 quality model has been extended by introducing domain-specific attributes adapted to the requirements of automated tuning of acoustic string musical instruments. The proposed extension supplements the standard attribute structure with the additional accuracy and precision attributes, while preserving compatibility with the original quality model. The obtained results provide a foundation for the further formalized development of procedures for software quality measurement and evaluation in the field of automated professional tuning of acoustic string musical instruments, as well as for the creation of corresponding metric systems and software quality evaluation tools.

References

1. Sedlet J. Quality Assurance and Control Considerations in Environmental Measurements and Monitoring. IEEE Transactions on Nuclear Science. 1982. Vol. 29, No. 3. P. 1233-1236. DOI: 10.1109/TNS.1982.4336344.

2. Pierce P. Software verification and validation. IEEE Technical Applications Conference. Northcon/96. Conference Record, Seattle, WA, USA. 1996. P. 265-268. DOI: 10.1109/NORTHC.1996.564924.

3. Laporte C. Y., April A. Software Quality Requirements. Software Quality Assurance (1st ed.). 2017. DOI: 10.1002/9781119312451.ch32.

4. Sychkov, V. S. Domain analysis of software for automated professional tuning of acoustic string musical instruments. Traditional and Innovative Approaches to Scientific Research : Proceedings of the 10th International Scientific Conference, Lutsk, December 26, 2025. International Center for Scientific Research (ICSR). Vinnytsia: UKRLOGOS Group LLC, 2025. P. 302–312. DOI: 10.62731/mcnd-26.12.2025.005.

5. Sychkov, V. S. Review of the historical development and functional capabilities of software for automated tuning of acoustic string musical instruments. Modern Science: Research, Economy and Innovation : Proceedings of the 4th International Scientific and Practical Conference, Zagreb, Croatia, January 21–23, 2026. International Scientific Unity (ISU). Zagreb, 2026. P. 112–118. DOI: 10.70286/ISU-21.01.2026.008.

6. Sychkov, V. S. Software for automated professional tuning of acoustic string musical instruments: an expert view. Scientific Notes of V. I. Vernadsky Taurida National University. Series: Technical Sciences. 2025. Vol. 36 (75), No. 4. P. 273–278. DOI: 10.32782/2663-5941/2025.4.2/36.

7. Komleva N. O., Sychkov V. S. Information Model of Acoustic String Musical Instrument and Method of Automated Professional Tuning of Instruments. Applied Aspects of Information Technology. 2024. Vol. 7, No. 2. P. 113–124. DOI: 10.15276/aait.07.2024.8.

8. The ISO/IEC 25000 series of standards. URL: https://iso25000.com/
index.php/en/iso-25000-standards (date of access: 27.06.2026).

9. Hrytsiuk Yu. I., Andrushchakevych O. T. Means for determining software quality by metric analysis methods. Scientific Bulletin of UNFU. 2018. Vol. 28, No. 6. P. 159–171. DOI: 10.15421/40280631.

10. Hrytsiuk Yu. I., Mukha T. O. Methods of determination of quality of software. Scientific Bulletin of UNFU. 2020. Vol. 30, No. 1. P. 158–167. DOI: 10.36930/40300127.

11. Zaporozhets O. V., Shtefan N. V. Measurement of software quality based on international standards. Radiotekhnika. 2021. Vol. 3, No. 206. P. 152–157. DOI: 10.30837/rt.2021.3.206.1410.30837/rt.2021.3.206.14.

12. Hrytsiuk Yu. I. Comprehensive software quality assessment system. Scientific Bulletin of UNFU. 2022. Vol. 32, No. 2. P. 81–95. DOI: 10.36930/40320213.

13. Budaretskyi, Yu. I., Shchavinskyi, Yu. V., Kuznetsov, V. V., & Nikolaiev, S. T. Application of the method of analysis of hierarchies to assess the software of complexes of automation means. Military Technical Collection. 2021. No. 25. P. 3–12. DOI: 10.33577/2312-4458.25.2021.3-12.

14. Hrytsiuk Yu. I. Features of giving preference to the characteristics of the software product quality model. Scientific Bulletin of UNFU. 2022. Vol. 32, No. 3. P. 79–102. DOI: 10.36930/40320313.

15. Souza-Pereira L., Pombo N., Ouhbi S. Software quality: Application of a process model for quality-in-use assessment. Journal of King Saud University - Computer and Information Sciences. 2022. Vol. 34, Issue 7. P. 4626–4634. DOI: 10.1016/j.jksuci.2022.03.031.

16. Lew P., Olsina L., Zhang L. 2010. Quality, Quality in Use, Actual Usability and User Experience as Key Drivers for Web Application Evaluation. In Web Engineering, Benatallah B., Casati F., Kappel G. and Rossi G. (eds.). Springer Berlin Heidelberg, Berlin, Heidelberg. P. 218–232. DOI: 10.1007/978-3-642-13911-6_15.

17. Hussain A., Mkpojiogu E. O. C. An application of the ISO/IEC 25010 standard in the quality-in-use assessment of an online health awareness system. Jurnal Teknologi. 2015. Vol. 77, Issue 5. DOI: 10.11113/jt.v77.6107.

18. Salomón S., Duque R., Montaña J. L. et al. Towards automatic evaluation of the Quality-in-Use in context-aware software systems. J Ambient Intell Human Comput. 2023. Vol. 14. P. 10321–10346. https://doi.org/10.1007/s12652-021-03693-w.

19. Gualo F., Rodriguez M., Verdugo J., Caballero I., Piattini M. Data quality certification using ISO/IEC 25012: Industrial experiences. Journal of Systems and Software. 2021. Vol. 176. P. 110938. DOI:10.1016/j.jss.2021.110938.

20. Calabrese J., Esponda S., Pesado P. M. Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024. Short Papers of the 8th Conference Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020). 2020. P. 53–56. URL: https://sedici.unlp.edu.ar/handle/10915/
104778 (date of access: 01.07.2026).

21. Verdugo J., Rodríguez M. Assessing data cybersecurity using ISO/IEC 25012. Software Qual J. 2020. Vol. 28. P. 965–985. DOI: 10.1007/s11219-019-09494-x.

22. Canlas R. B., Piad K. C., Lagman A. C. An ISO/IEC 25010 Based Software Quality Assessment of a Faculty Research Productivity Monitoring and Prediction System. Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City (ICIT '21). Association for Computing Machinery, New York, NY, USA. 2021. P. 238–242. DOI: 10.1145/
3512576.3512619.

23. Keibach E., Shayesteh H. BIM for Landscape Design Improving Climate Adaptation Planning: The Evaluation of Software Tools Based on the ISO 25010 Standard. Applied Sciences. 2022. Vol. 12, No. 2:739. DOI: 10.3390/
app12020739.

24. Ali M. A., Yap N. K., Ghani A. A. A., Zulzalil H., Admodisastro N. I., Najafabadi A. A. A Systematic Mapping of Quality Models for AI Systems, Software and Components. Applied Sciences. 2022. Vol. 12, No. 17:8700. DOI: 10.3390/app12178700.

Біографія автора

  • Vitalii Sychkov

    Assistant, Software Engineering Department, Odesa Polytechnic National University, Odesa, Ukraine, https://orcid.org/0009-0009-3709-2029

Завантаження

Опубліковано

2026-07-10

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