Model-Driven Development of Android Audio-based Applications

Document Type : Software Engineering-Bagheri

Authors

• Reza Vakili
• Leila Samimi-Dehkordi
• Marzieh Varposhti

Department of Computer Engineering, Shahrekord University, Shahrekord, Iran

10.22067/cke.2025.90213.1134

Abstract

This paper presents a model-driven engineering framework designed to enhance the development of flexible, high-quality audio-based applications on mobile platforms. The framework comprises domain-specific metamodels, a graphical editor, and a transformation engine, enabling the automatic generation of application code and supporting customization within Android Studio. To address the challenges faced by developers in delivering effective audio applications, the framework provides a structured approach to simplify design and implementation processes. The framework’s applicability is demonstrated through four case studies, highlighting its ability to create diverse audio-based Android applications. A detailed evaluation includes a comparison of development effort between the proposed model-driven approach and traditional coding methods, showing significant reductions in time and manual effort. Additionally, the framework is assessed using key software quality metrics such as maintainability, understandability, and extensibility. The findings demonstrate that the model-driven approach not only streamlines development but also improves the maintenance of applications, enabling developers to meet the growing demand for audio applications efficiently. By reducing development costs and enhancing productivity, this research contributes to the field of software engineering, offering a practical and adaptable methodology for audio-based application development.

Keywords

• Model-Driven Development
• Android Application
• Audio-based Application
• Modeling Language

Main Subjects

• Information Technology

---

References

[1] R. F. Paige, N. Matragkas, and L. M. Rose. (2016, Jan.). Evolving models in model-driven engineering: State-of-the-art and future challenges. Journal of Systems and Software. [Online]. 111(1), pp. 272–280. Available: https://doi.org/10.1016/j.jss.2015.08.047

[2] R. France and B. Rumpe. (2007, May.). Model-driven development of complex software: A research roadmap. In Future of Software Engineering (FOSE'07). [Online]. pp. 37–54. Available: https://doi.org/10.1109/FOSE.2007.14

[3] M. Abbasi, A. Lopes, D. Rodrigues, J. Saraiva, P. Martins, F. Sá, and F. Cardoso. (2023, Jun.). In-depth analysis of mobile apps statistics: A study and development of a mobile app. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI). pp. 1–7. [Online]. Available: https://doi.org/10.23919/CISTI58278.2023.10211912

[4] L. M. Poupis, D. Rubin, and L. Lteif. (2021, Mar.). Turn up the volume if you’re feeling lonely: The effect of mobile application sound on consumer outcomes. Journal of Business Research. [Online]. 126, pp. 263–278. Available:

 https://doi.org/10.1016/j.jbusres.2020.12.062

[5] A. M. Rapatsalahy, H. Razafimahatratra, T. Mahatody, M. Ilie, S. Ilie, and R. N. Razafindrakoto. (2021, Jun.). Automatic Generation of Object-Oriented Code from the ReLEL Requirements Model. System Theory, Control and Computing Journal. [Online]. 1(1), pp. 36–47. Available:

 https://doi.org/10.52846/stccj.2021.1.1.9

[6] S. Vaupel, G. Taentzer, J. P. Harries, R. Stroh, R. Gerlach, and M. Guckert. (2014, Sep.). Model-driven development of mobile applications allowing role-driven variants. In Model-Driven Engineering Languages and Systems: 17th International Conference, MODELS 2014, Valencia, Spain, 2014. [Online]. Available: https://doi.org/10.1007/978-3-319-11653-2_1

[7] M. Derakhshandi, S. Kolahdouz-Rahimi, J. Troya, and K. Lano. (2021, Nov.). A model-driven framework for developing android-based classic multiplayer 2D board games. Automated Software Engineering. [Online]. 28(2), p. 7. Available: https://doi.org/10.1007/s10515-021-00282-1

[8] J. Z. Blanco and D. Lucrédio. (2021, Sep.). A holistic approach for cross-platform software development. Journal of Systems and Software. [Online]. 179, p. 110985. Available: https://doi.org/10.1016/j.jss.2021.110985

[9] M. Gharaat, M. Sharbaf, B. Zamani, and A. Hamou-Lhadj. (2021, May.). ALBA: A model-driven framework for the automatic generation of android location-based apps. Automated Software Engineering. [Online]. 28, pp. 1–45. Available: https://doi.org/10.1007/s10515-020-00278-3

[10] L. B. Ammar. (2021, Mar.). An automated model-based approach for developing mobile user interfaces. IEEE Access. [Online]. 9, pp. 51573–51581. Available: https://doi.org/10.1109/ACCESS.2021.3066007

[11] M. Mehrabi, B. Zamani, and A. Hamou-Lhadj. (2022, Nov.). HealMA: A model-driven framework for automatic generation of IoT-based Android health monitoring applications. Automated Software Engineering. [Online]. 29(2), p. 56. Available: https://doi.org/10.1007/s10515-022-00363-9

[12] M. Shamsujjoha, J. Grundy, L. Li, H. Khalajzadeh, and Q. Lu. (2021, Dec.). Developing mobile applications via model-driven development: A systematic literature review. Information and Software Technology. [Online]. 140, p. 106693. Available: https://doi.org/10.1016/j.infsof.2021.106693

[13] J. A. Barriga, P. J. Clemente, E. Sosa-Sánchez, and A. E. Prieto. (2021). SimulateIoT: Domain Specific Language to design, code generation and execute IoT simulation environments. IEEE Access. [Online]. 9, pp. 92531–92552. Available: https://doi.org/10.1109/ACCESS.2021.3092528

[14]         M. Núñez, D. Bonhaure, M. González, and L. Cernuzzi. (2020, Mar.). A model-driven approach for the development of native mobile applications focusing on the data layer. Journal of Systems and Software. [Online]. 161, p. 110489. Available: https://doi.org/10.1016/j.jss.2019.110489

[15] L. Guo, The First Line of Code: Android Programming with Kotlin. Springer Nature, 2022.

[16] M. Genero and M. Piattini. (2001, Jun.). Empirical validation of measures for class diagram structural complexity through controlled experiments. In 5th International ECOOP Workshop on Quantitative Approaches in Object-Oriented Software Engineering. [Online]. Available: https://citeseerx.ist.psu.edu

[17] F. T. Sheldon and H. Chung. (2006, Sep.). Measuring the complexity of class diagrams in reverse engineering. Journal of Software Maintenance and Evolution: Research and Practice. [Online]. 18(5), pp. 333–350. Available: https://doi.org/10.1002/smr.336

[18] T. Arendt, F. Mantz, and G. Taentzer. (2009, Oct.). UML model quality assurance techniques. Philipps-Univ. Marburg, Marburg, Germany, Tech. Rep. [Online]. Available:https://citeseerx.ist.psu.edu/document