Comprehensive Dataset for Call Graph Visualization and Design Pattern Detection using Behavior-Structural Sequences and Generated Audio Waves

Citation Author(s):
Submitted by:
Tarik Houichime
Last updated:
Sun, 06/16/2024 - 14:35
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The data generated during this research includes several distinct components aimed at enhancing the understanding and application of call graph visualization and design pattern detection. This data is housed in a publicly accessible repository and comprises the following elements:

  1. Code Samples: A total of 24 code samples are included in the repository. These samples were used as the basis for testing and validating the proposed techniques. Each code sample provides a practical example of various design patterns, facilitating the examination and analysis of the methodologies presented in this study.

  2. Behavior-Structural Sequences: Alongside the code samples, the repository contains 24 behavior-structural sequences. These sequences capture the dynamic behavior and structural attributes of the code samples. By analyzing these sequences, researchers can identify patterns and features that are indicative of specific design patterns.

  3. Variants of Behavior-Structural Sequences: In addition to the primary sequences, variants of these behavior-structural sequences are provided. These variants represent different modifications and augmentations applied to the original sequences, which are useful for testing the robustness and adaptability of the pattern detection techniques.

  4. Generated Audio Waves: The repository also includes samples of audio waves generated from the code sequences. These audio waves are a novel aspect of the research, representing the transformation of code data into an auditory format to facilitate unique insights and analysis.

License and Accessibility

All the audio wave samples and behavior-structural sequences are provided under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This open license allows for widespread use and adaptation of the data, encouraging further research and development in the field.


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The dataset supports the novel methodology proposed for call graph visualization and design pattern detection, validating the techniques through practical code samples and behavioral sequences. It includes 24 annotated code samples and their behavioral representations, along with generated audio waves for innovative analysis perspectives.

Submitted by Tarik Houichime on Sun, 06/16/2024 - 14:38