Regression and Performance Testing of an e-Learning Web Application: dotLRN

2007 ◽  
Author(s):  
Ana Cavalli ◽  
Stephane Maag ◽  
Gerardo Morales
Keyword(s):  
Web Application ◽  
Performance Testing ◽  
E Learning ◽  
And Performance

scholarly journals Comparison of web application state management tools

2021 ◽  
Vol 20 ◽  
pp. 183-188
Author(s):  
Kacper Szymanek ◽  
Beata Pańczyk
Keyword(s):  
Web Application ◽  
Solution Structure ◽  
Web Applications ◽  
Performance Testing ◽  
Community Support ◽  
Management Tools ◽  
State Management ◽  
Code Metrics ◽  
State Manager ◽  
And Performance

Modern web applications require flow of large amounts of data. To maintain order in code, a state manager was invented. With manager all data can be retrieved from and goes to one place. In this paper, four libraries for state management (NgRx, Ngxs, Redux, Vuex) were analyzed. Five criteria were used for the study: code metrics, solution structure, availability of ready-made implementations, community support, and performance testing. Results showed that there is not the best tool in every criterion, but when comparing the results obtained, the most universal solution is Vuex.

Digitalization system of ancient architecture decoration art based on neural network and image features

2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping
Keyword(s):  
Neural Network ◽  
Construction Industry ◽  
Three Dimensional ◽  
Performance Testing ◽  
Image Features ◽  
Three Dimensional Model ◽  
Performance Effect ◽  
Data Process ◽  
And Performance ◽  
Construction Mode

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.

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