SourceMiner: Towards an Extensible Multi-perspective Software Visualization Environment

2014 ◽  
pp. 242-263 ◽  
Author(s):  
Glauco de Figueiredo Carneiro ◽  
Manoel Gomes de Mendonça Neto
Keyword(s):  
Software Visualization

Proposing and assessing a software visualization approach based on polymetric views

2016 ◽  
Vol 34-35 ◽  
pp. 11-24 ◽  
Author(s):  
Rita Francese ◽  
Michele Risi ◽  
Giuseppe Scanniello ◽  
Genoveffa Tortora
Keyword(s):  
Software Visualization

A bidirectional-transformation-based framework for software visualization and visual editing

2014 ◽  
Vol 57 (5) ◽  
pp. 1-23 ◽  
Author(s):  
Xiao He ◽  
ChangJun Hu ◽  
ZhiYi Ma ◽  
WeiZhong Shao
Keyword(s):  
Software Visualization ◽  
Bidirectional Transformation

scholarly journals Explainable Hopfield Neural Networks by Using an Automatic Video Generation System

2021 ◽  
Author(s):  
Clemente Rubio Manzano
Keyword(s):  
Neural Networks ◽  
Recurrent Neural Networks ◽  
Software Visualization ◽  
Hopfield Neural Networks ◽  
Generation System ◽  
Novel Approach ◽  
Systems Software ◽  
Explainable Artificial Intelligence ◽  
Technical Details ◽  
Artificial Intelligence Systems

Hopfield Neural Networks (HNNs) are recurrent neural networks used to implement associative memory. Their main feature is their ability to pattern recognition, optimization, or image segmentation. However, sometimes it is not easy to provide the users with good explanations about the results obtained with them due to mainly the large number of changes in the state of neurons (and their weights) produced during a problem of machine learning. There are currently limited techniques to visualize, verbalize, or abstract HNNs. This paper outlines how we can construct automatic video generation systems to explain their execution. This work constitutes a novel approach to get explainable artificial intelligence systems in general and HNNs in particular building on the theory of data-to-text systems and software visualization approaches. We present a complete methodology to build these kinds of systems. Software architecture is also designed, implemented, and tested. Technical details about the implementation are also detailed and explained. Finally, we apply our approach for creating a complete explainer video about the execution of HNNs on a small recognition problem.

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