Online Model Editing, Simulation and Code Generation for Web and Mobile Applications

Author(s):  
Carlo Bernaschina ◽  
Sara Comai ◽  
Piero Fraternali
Computing ◽  
2013 ◽  
Vol 96 (5) ◽  
pp. 355-379 ◽  
Author(s):  
Alain Tamayo ◽  
Carlos Granell ◽  
Laura Díaz ◽  
Joaquín Huerta

2015 ◽  
Vol 22 (2) ◽  
pp. 31 ◽  
Author(s):  
Abilio Parada ◽  
Milena Marques ◽  
Lisane B. de Brisolara

This paper proposes a MDD approach for mobile application development, which includes modeling and code generation strategies for An- droid and Windows Phone. UML class and sequence diagrams are employed for modeling mobile applications and code is generated from this model. To support the automatic code generation, GenCode was re-structured and ex- tended to meet the particularities of these two platforms. As result, GenCode’s current version is able to automatically generate Java-Android and C# codes, according to the specified application model and target platform. Finally, case studies are used to demonstrate the proposed approach, as well as to validate the code generation tool.


2019 ◽  
Vol 16 (2) ◽  
pp. 281-285 ◽  
Author(s):  
Amanda Edwards-Stewart ◽  
Cynthia Alexander ◽  
Christina M. Armstrong ◽  
Tim Hoyt ◽  
William O'Donohue

2018 ◽  
Vol 46 ◽  
pp. 101-106
Author(s):  
Chiara Bianchizza ◽  
Simone Frigerio ◽  
Luca Schenato ◽  
Daniele Del Bianco

Author(s):  
M. A. H. Mohd Adib ◽  
N. H. M. Hasni

Driving with brady-tachy syndrome is one of the main causes of car accidents. In order to prevent drivers from brady-tachy driving, there is a strong demand for driver monitoring systems. Other than problems in driving attitudes and skills, road accidents are also caused by uncontrollable factors such as medical conditions and drowsiness. These factors can be avoided by having early detection. Therefore, the brady-tachy heart automotive so-called BT-Heartomotive device is developed. This BT-Heartomotive device can detect early signs of drowsiness and health problems by measuring the heart rate of the drivers during driving. The device also could use the data to send an alert to the passengers that they’re in precaution. The device shows a good accuracy in the detection of the heart rate level. The device comprised three main components; wristband, monitor and integrated mobile applications. Heart rate measurement can reveal a lot about the physical conditions of an individual. The BT-Heartomotive device is simple, easy to use and automated.


Author(s):  
Karandeep Singh Singh ◽  
Kaitlin Drouin Drouin ◽  
Lisa P. Newmark Newmark ◽  
Ronen Rozenblum Rozenblum

Author(s):  
Masashi TAWADA ◽  
Shinji KIMURA ◽  
Masao YANAGISAWA ◽  
Nozomu TOGAWA

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