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A Sketch of a Model-Driven Approach to Develop Smart Tourism Mobile Applications
Computer Sciences & Mathematics Forum, 2023 Several approaches have been proposed to accelerate software development. Model-driven engineering (MDE) is one approach that aims to abstract and automate the development process using models and transformations as the main artifacts.
Hamza Abdelmalek +3 more
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Adopting MDE for Specifying and Executing Civilian Missions of Mobile Multi-Robot Systems
IEEE Access, 2016 Robots are meant to replace humans for a broad variety of everyday tasks, such as environmental monitoring or patrolling large public areas for security assurance.
Federico Ciccozzi +3 more
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Machines, 2023 Software development for robotic systems is traditionally performed based on simulations, manual code implementation, and testing. However, this software development approach can cause safety issues in some scenarios, including multiple robots sharing a ...
Metin Ozkan +3 more
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Quality-Driven Detection and Resolution of Metamodel Smells
IEEE Access, 2019 In model-driven engineering, analogously to any software development practice, metamodel design must be accurate and performed by considering relevant quality factors, including maintainability, reusability, and understandability.
Lorenzo Bettini +3 more
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Languages for model-driven development of user interfaces: Review of the state of the art [PDF]
Yugoslav Journal of Operations Research, 2013 In model-driven user interface development, several models are used to describe different aspects of user interface when level of detail varies. The relations between the models are established through model transformations.
Jovanović Mlađan +2 more
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Engineering Science and Technology, an International Journal, 2021 Good domain-modeling enables an appropriate separation of concerns that improves quality properties in the simulation models, such as modifiability and maintainability.
María Julia Blas, Silvio Gonnet
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Dirty engineering data-driven inverse prediction machine learning model
Scientific Reports, 2020 Most data-driven machine learning (ML) approaches established in metallurgy research fields are focused on a build-up of reliable quantitative models that predict a material property from a given set of material conditions.
Jin-Woong Lee +5 more
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Model-Driven Approaches for Reverse Engineering—A Systematic Literature Review
IEEE AccessMany organizations depend on software systems to accomplish their daily tasks, but these systems need to be maintained and evolved to cope with various changes and requirements.
Hanan Abdulwahab Siala +2 more
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An Integrated Modeling, Simulation and Analysis Framework for Engineering Complex Systems
IEEE Access, 2019 The discipline of component-based modeling and simulation offers promising gains in reducing cost, time, and the complexity of model development through the (re)use of modular components.
Imran Mahmood +4 more
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Agile Development of PHP Websites: A Model-Aware Approach
Complex Systems Informatics and Modeling Quarterly, 2020 The Design Science research method was hereby employed to develop an artifact that demonstrates the experimental “model-aware” software engineering methodology in the context of PHP Web development – a “low code” development approach with code templates ...
Carmen Ioana Gog
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