Automatic Code Generation for Language-Learning Applications

Sebastián, Gabriel; Tesoriero, Ricardo; Gallud, José A.

doi:10.1109/tla.2020.9111679

Cited by 12 publications

(6 citation statements)

References 5 publications

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“…Other approaches have used programming languages to parse the XML model file generated from the source model and automate a formal model. Notably, the XML file of the source model was parsed in the Python language to safety analysis artefacts [93], ATLAS Transformation Language (ATL) [24], and Eclipse Modelling Framework [23]. The MBSA offers several advantages, including a composition that enables an easy understanding of the effects of altering one or more components or subsystems on the entire system's safety assurance.…”

Section: Package Diagrammentioning

confidence: 99%

“…Recent studies in the safety analysis domain are now proposing the utilisation of MBSA approaches for the generation of the FTA process to simplify design trade-offs, increase IoT design flexibility, and reduce cost and time-to-market constraints [22][23][24][25][26][27][28][29][30][31]. This study utilises the use of the MBSA paradigm to create an FTA model of an IoT-based SIS in a SysML environment for a viable safety assessment.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing Safety in IoT Systems: A Model-Based Assessment of a Smart Irrigation System Using Fault Tree Analysis

Abdulhamid,

Rahman,

Kabir

et al. 2024

Electronics

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The agricultural industry has the potential to undergo a revolutionary transformation with the use of Internet of Things (IoT) technology. Crop monitoring can be improved, waste reduced, and efficiency increased. However, there are risks associated with system failures that can lead to significant losses and food insecurity. Therefore, a proactive approach is necessary to ensure the effective safety assessment of new IoT systems before deployment. It is crucial to identify potential causes of failure and their severity from the conceptual design phase of the IoT system within smart agricultural ecosystems. This will help prevent such risks and ensure the safety of the system. This study examines the failure behaviour of IoT-based Smart Irrigation Systems (SIS) to identify potential causes of failure. This study proposes a comprehensive Model-Based Safety Analysis (MBSA) framework to model the failure behaviour of SIS and generate analysable safety artefacts of the system using System Modelling Language (SysML). The MBSA approach provides meticulousness to the analysis, supports model reuse, and makes the development of a Fault Tree Analysis (FTA) model easier, thereby reducing the inherent limitations of informal system analysis. The FTA model identifies component failures and their propagation, providing a detailed understanding of how individual component failures can lead to the overall failure of the SIS. This study offers valuable insights into the interconnectedness of various component failures by evaluating the SIS failure behaviour through the FTA model. This study generates multiple minimal cut sets, which provide actionable insights into designing dependable IoT-based SIS. This analysis identifies potential weak points in the design and provides a foundation for safety risk mitigation strategies. This study emphasises the significance of a systematic and model-driven approach to improving the dependability of IoT systems in agriculture, ensuring sustainable and safe implementation.

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Section: Package Diagrammentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing Safety in IoT Systems: A Model-Based Assessment of a Smart Irrigation System Using Fault Tree Analysis

Abdulhamid,

Rahman,

Kabir

et al. 2024

Electronics

View full text Add to dashboard Cite

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“…A proposal based on the definition of a set of transformations and DSLs that generate the source code of Web applications for language learning using a MDA approach is presented in [40] and [41].…”

Section: Related Workmentioning

confidence: 99%

Transformation Architecture for Multi-Layered WebApp Source Code Generation

et al. 2022

Self Cite

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The evolution of Web technologies leads to software premature obsolescence requiring technology-independent representations to increase the reuse rates during the development process. They also require integration into service-oriented architectures to exchange information with different Web systems supporting runtime interoperability. Web Applications (WebApps) run on devices with different capabilities and limitations increasing the complexity of the development process. To address these challenges, different proposals have emerged to facilitate the development of WebApps, which is still an open research field with many challenges to address. This paper presents a model transformation architecture based on software standards to automatically generate full stack multi-layered WebApps covering Persistence, Service, and Presentation layers. This transformation architecture also generates the set of test cases to test WebApp business logic. The proposed transformation architecture only requires a UML platform-independent class model as an input to generate fully functional Web applications in a three-tier architecture including the three layers, while most proposals focus on the generation of the Presentation layer. In addition, this architecture employs software industry standards to enable an easy integration into third-party tools and development environments. The transformation Architecture proposed has been empirically validated on the case study of a fully functional travel management WebApp that is generated using a UML class diagram employing a third-party tool integrated into the same integrated development environment.

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“…And it is based on the application of TagML in 3 different scenarios besides the presented case of study. These scenarios include-a set of 7 student projects for the subject "Advanced software development methods" (4th year of Computer Science degree) and a final degree project in 2017 [23], and a PhD thesis [38], which is based on the meta-models presented in Reference [39].…”

Section: Qualitative Evaluationmentioning

confidence: 99%

TagML—An Implementation Specific Model to Generate Tag-Based Documents

2020

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This article describes TagML, a method to generate collections of XML documents using model-to-model (M2M) transformations. To accomplish this goal, we define the TagML meta-model and the TagML-to-XML model-to-text transformation. While TagML models represent the essential characteristics of collections of XML documents, the TagML-to-XML transformation generates the textual representation of collections of XML documents from TagML models. This approach enables developers to define model-to-model transformations to generate TagML models. These models are turned into text applying the TagML-to-XML transformation. Consequently, developers are able to use declarative languages to define model-to-text transformations that generate XML documents, instead of traditional archetype-based languages to define model-to-text transformations that generate collections of XML documents. The TagML model editor as well as the TagML-to-XML transformation were developed as Eclipse plugins using the Eclipse Modeling Framework. The plugin has been developed following the Object Modeling Group standards to ensure the compatibility with legacy tools. Using TagML, unlike other previous proposals, implies the use of model-to-model transformations to generate XML documents, instead of model-to-text transformations, which results on an improvement of the transformation readability and reliability, as well as a reduction of the transformation maintenance costs. The proposed approach helps developers to define transformations less prone to errors than using the traditional approach. The novelty of this approach is based on the way XML documents are generated using model-to-model transformations instead of traditional model-to-text transformations. Moreover, the simplicity of the proposed approach enables the generation of XML documents without the need for any transformation configuration, which does not penalize the model reuse. To illustrate the features of the proposal, we present the generation of XHTML documents using UML class diagrams as input models. The evaluation section demonstrates that the proposed method is less prone to errors than the traditional one.

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Automatic Code Generation for Language-Learning Applications

Cited by 12 publications

References 5 publications

Enhancing Safety in IoT Systems: A Model-Based Assessment of a Smart Irrigation System Using Fault Tree Analysis

Enhancing Safety in IoT Systems: A Model-Based Assessment of a Smart Irrigation System Using Fault Tree Analysis

Transformation Architecture for Multi-Layered WebApp Source Code Generation

TagML—An Implementation Specific Model to Generate Tag-Based Documents

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