Rafael Figueira Goncalves
ABSTRACT
The Internet of Things (IoT) is a paradigm that provides an ecosystem for a fast-growing quantity of connected devices, also defined as cyber-physical devices. The creation of Internet of Things solutions is fairly complex, integrating and communicating between sensors, devices, and larger systems. The Model Driven Development (MDD), a software development methodology that allows the generation of software solutions through abstract models, may help to create quality Internet of Things solutions. Thus, this study aims to evaluate the quality of cyber-physical solutions developed from an MDD platform. For this purpose, we performed an quasi-experiment, comparing a well-stable cyber-physical solution with the same solution implemented in an MDD tool. To compare the solutions, we explored several characteristics of ISO/IEC 25010 standard using qualitative and quantitative analysis. The results show the code generated from the MDD tool presented better maintainability and provided the same performance and functional suitability as the original code.
- Deniz Akdur, Vahid Garousi, and Onur Demirörs. 2018. A survey on modeling and model-driven engineering practices in the embedded software industry. Journal of Systems Architecture 91 (2018), 62–82.Google Scholar
Cross Ref
- Mohsen Hallaj Asghar, Atul Negi, and Nasibeh Mohammadzadeh. 2015. Principle application and vision in Internet of Things (IoT). International Conference on Computing, Communication and Automation, ICCCA 2015 (2015). https://doi.org/10.1109/CCAA.2015.7148413Google ScholarCross Ref
- Luigi Atzori, Antonio Iera, and Giacomo Morabito. 2010. The Internet of Things: A survey. Computer Networks 54, 15 (10 2010), 2787–2805. Issue 15. https://doi.org/10.1016/j.comnet.2010.05.010Google ScholarDigital Library
- Dhouha Ayed, Didier Delanote, and Yolande Berbers. 2007. MDD approach for the development of context-aware applications. In International and Interdisciplinary Conference on Modeling and Using Context. Springer, 15–28.Google ScholarCross Ref
- Miroslav Bures. 2018. Framework for Integration Testing of IoT Solutions. Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017(2018), 1838–1839. https://doi.org/10.1109/CSCI.2017.335Google ScholarCross Ref
- Miroslav Bures, Xavier Bellekens, Karel Frajtak, and Bestoun S. Ahmed. 2020. A Comprehensive View on Quality Characteristics of the IoT Solutions. EAI/Springer Innovations in Communication and ComputingDecember (2020), 59–69. https://doi.org/10.1007/978-3-030-28925-6_6 arxiv:1812.09683Google ScholarCross Ref
- Louis Coetzee and Johan Eksteen. 2011. Internet of things–promise for the future? An Introduction. (2011).Google Scholar
- Rafael Figueira Goncalves, André Menolli, and Gustavo Marcelino Dionisio. 2022. MDD4CPD: Model Driven Development Approach Proposal for Cyber-Physical Devices. In XVIII Brazilian Symposium on Information Systems. 1–8.Google ScholarDigital Library
- Richard Grimmett. 2015. Raspberry Pi robotics projects. Packt Publishing Ltd.Google Scholar
- Jayavardhana Gubbi, Rajkumar Buyya, Slaven Marusic, and Marimuthu Palaniswami. 2013. Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems 29, 7 (2013), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010Google ScholarDigital Library
- Jenalea Howell. 2017. Number of Connected IoT Devices Will Surge to 125 Billion by 2030, IHS Markit Says. https://technology.ihs.com/596542/number-of-connected-iot-devices-will-surge-to-125-billion-by-2030-ihs-markit-saysGoogle Scholar
- Mehdi Imani, Abolfazl Qiasi Moghadam, Nasrin Zarif, Maaruf Ali, Omekolsoom Noshiri, Kimia Faramarzi, Hamid Arabnia, and Majid Joudaki. 2018. A comprehensive survey on addressing methods in the Internet of Things. arXiv preprint arXiv:1807.02173(2018).Google Scholar
- InternetWorldStats. 2019. World Internet Users Statistics and 2019 World Population Stats. https://www.internetworldstats.com/stats.htmGoogle Scholar
- ISO 25010:2011 2011. ISO25010 - Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — System and software quality models. Standard. International Organization for Standardization.Google Scholar
- Adeel Javed. 2016. Building Arduino projects for the Internet of Things: experiments with real-world applications. Apress.Google Scholar
- Tim Kapteijns, Slinger Jansen, Sjaak Brinkkemper, Henry Houët, and Rick Barendse. 2009. A comparative case study of model driven development vs traditional development: The tortoise or the hare. From code centric to model centric software engineering: Practices, Implications and ROI 22(2009).Google Scholar
- Duncan Ki-Aries, Shamal Faily, Huseyin Dogan, and Christopher Williams. 2018. Assessing system of systems security risk and requirements with oasosis. Proceedings - 2018 5th International Workshop on Evolving Security and Privacy Requirements Engineering, ESPRE 2018(2018), 14–20. https://doi.org/10.1109/ESPRE.2018.00009Google ScholarCross Ref
- Matej Klima, Miroslav Bures, Karel Frajtak, Vaclav Rechtberger, Michal Trnka, Xavier Bellekens, Tomas Cerny, and Bestoun S. Ahmed. 2022. Selected Code-Quality Characteristics and Metrics for Internet of Things Systems. IEEE Access 10, 1 (2022), 46144–46161. https://doi.org/10.1109/ACCESS.2022.3170475Google ScholarCross Ref
- Hari Kishan Kondaveeti, Nandeesh Kumar Kumaravelu, Sunny Dayal Vanambathina, Sudha Ellison Mathe, and Suseela Vappangi. 2021. A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations. Computer Science Review 40 (2021). https://doi.org/10.1016/j.cosrev.2021.100364Google ScholarDigital Library
- Rodger Lea and Michael Blackstock. 2014. City hub: A cloud-based iot platform for smart cities. In 2014 IEEE 6th international conference on cloud computing technology and science. IEEE, 799–804.Google ScholarDigital Library
- Edward A Lee. 2008. Cyber physical systems: Design challenges. In 2008 11th IEEE international symposium on object and component-oriented real-time distributed computing (ISORC). IEEE.Google ScholarDigital Library
- Robert Martin. 1994. OO design quality metrics. An analysis of dependencies 12 (1994), 151–170.Google Scholar
- Rebeca C Motta, Káthia M de Oliveira, and Guilherme H Travassos. 2018. On challenges in engineering IoT software systems. In Proceedings of the XXXII Brazilian symposium on software engineering. 42–51.Google ScholarDigital Library
- Xuan Thang Nguyen, Huu Tam Tran, Harun Baraki, and Kurt Geihs. 2015. FRASAD: A framework for model-driven IoT Application Development. In 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT). IEEE, 387–392.Google Scholar
- Alberto S. Nuñez-Varela, Héctor G. Pérez-Gonzalez, Francisco E. Martínez-Perez, and Carlos Soubervielle-Montalvo. 2017. Source code metrics: A systematic mapping study. Journal of Systems and Software 128 (2017), 164–197. https://doi.org/10.1016/j.jss.2017.03.044Google ScholarDigital Library
- Alberto S Nuñez-Varela, Hector G Perez-Gonzalez, Francisco E Martínez-Perez, and Carlos Soubervielle-Montalvo. 2017. Source code metrics: A systematic mapping study. Journal of Systems and Software 128 (2017), 164–197.Google ScholarDigital Library
- Fernando Silva Parreiras, Gerd Gröner, Tobias Walter, Andreas Friesen, Tirdad Rahmani, Jens Lemcke, Hannes Schwarz, Krzysztof Miksa, Christian Wende, and Uwe Aßmann. 2013. Model-driven software development. 21–50 pages. https://doi.org/10.1007/978-3-642-31226-7_2Google ScholarCross Ref
- Izabela Perenc, Tomasz Jaworski, and Piotr Duch. 2019. Teaching programming using dedicated Arduino Educational Board. Computer Applications in Engineering Education 27, 4 (2019), 943–954. https://doi.org/10.1002/cae.22134Google ScholarCross Ref
- Klaus Schwab and Nicholas Davis. 2019. Aplicando a quarta revolução industrial. EDIPRO.Google Scholar
- Lu Tan and Neng Wang. 2010. Future internet: The internet of things. In 2010 3rd international conference on advanced computer theory and engineering (ICACTE), Vol. 5. IEEE, V5—-376.Google Scholar
- Antonio Terceiro, Joenio Costa, João Miranda, Paulo Meirelles, Luiz Romário Rios, Lucianna Almeida, Christina Chavez, and Fabio Kon. 2010. Analizo: an Extensible Multi-Language Source Code Analysis and Visualization Toolkit.. In Brazilian Conference on Software: Theory and Practice (CBSoft) – Tools. Salvador-Brazil.Google Scholar
- Hong-Linh Truong and Schahram Dustdar. 2015. Principles for engineering IoT cloud systems. IEEE Cloud Computing 2, 2 (2015), 68–76.Google ScholarCross Ref
- Michalis Xenos, D Stavrinoudis, K Zikouli, and D Christodoulakis. 2000. Object-oriented metrics-a survey. Proceedings of the FESMA, 1–10.Google Scholar
- Michalis Xenos, D Stavrinoudis, K Zikouli, and D Christodoulakis. 2000. Object-oriented metrics-a survey. In Proceedings of the FESMA. 1–10.Google Scholar
Index Terms
- An Analysis of the Quality of Model Driven Development Solutions Applied to Cyber-Physical Devices
Recommendations
MDD4CPD: Model Driven Development Approach Proposal for Cyber-Physical Devices
SBSI '22: Proceedings of the XVIII Brazilian Symposium on Information SystemsContext: the Internet of Things (IoT) is a paradigm that provides an ecosystem for a fast-growing quantity of connected devices, also defined as cyber-physical devices.
Problem: the creation of Internet of Things solutions is fairly complex, having to ...
Transformation techniques in the model-driven development process of UWE
ICWE '06: Workshop proceedings of the sixth international conference on Web engineeringDevelopment of Web software is still an inefficient and error-prone process. We need integrated techniques and tool support for automated generation of Web systems. The goal of model-driven development (MDD) is to tackle these problems introducing a ...
Enabling model-driven software development tools for the internet of things
MiSE '19: Proceedings of the 11th International Workshop on Modelling in Software EngineeringsThe heterogeneity and complexity of Internet of Things (IoT) applications present new challenges to the software development process. Model-Driven Software Development (MDSD) is increasingly being recognized as a key paradigm in tackling many of these ...
Comments