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Dataset of network simulator related-question posts in stack overflow
Yusuf Sulistyo Nugroho1, Syful Islam2, Dedi Gunawan1
1Universitas Muhammadiyah Surakarta, Indonesia.
Data in Brief
|March 4, 2022
Summary
This study introduces a new dataset of network simulator (NS) discussions from Stack Overflow, revealing common user challenges. The dataset aids researchers in understanding and addressing issues faced by network simulator users.
Area of Science:
- Computer Science
- Network Engineering
- Data Science
Background:
- Network simulators (NS) are crucial for predicting computer network behavior.
- Users frequently encounter challenges with NS, sharing them on platforms like Stack Overflow (SO).
- A systematic study of these NS user challenges has been lacking.
Purpose of the Study:
- To create a comprehensive dataset of network simulator discussions.
- To analyze and categorize the challenges faced by NS users.
- To provide a resource for the research community to understand NS user issues.
Main Methods:
- Extracted 2,322 NS-related question posts from SOTorrent.
- Filtered posts using simulator tags and identified NS-specific tags.
- Preprocessed post titles and applied Latent Dirichlet Allocation (LDA) topic modeling.
- Clustered NS posts into eight distinct topic categories.
Main Results:
- Developed a dataset comprising 2,322 NS-related posts with 17 features.
- Identified eight distinct topics representing common NS user challenges through LDA.
- The dataset offers insights into the practical difficulties encountered when using network simulators.
Conclusions:
- The presented NS discussion dataset is a valuable resource for the research community.
- This dataset facilitates a deeper understanding of the challenges faced by network simulator users.
- Future research can leverage this dataset to develop targeted solutions and improvements for network simulation tools.