Datasets
Standard Dataset
Spring Jira Bug Dataset
- Citation Author(s):
- Submitted by:
- Satya Madaraboina
- Last updated:
- Wed, 06/26/2024 - 12:29
- DOI:
- 10.21227/vchb-9j08
- Data Format:
- License:
Abstract
The Defect Tracking dataset provides a comprehensive resource for software maintenance and defect prediction research. This dataset, downloaded from the Jira Spring website, includes detailed defect data from a variety of Spring application projects such as Spring Framework, Spring Boot, Spring Security, Spring Data, and others. It encompasses numerous attributes, including issue summaries, types, statuses, priorities, resolution details, and additional relevant information.
This dataset supports the development and evaluation of machine learning models aimed at predicting bug priority and resolution time, thus enhancing the efficiency and accuracy of bug triage processes. The diverse representation of issues from multiple projects ensures a robust platform for training and testing algorithms. Each entry in the dataset reflects real-world complexities and variations, offering significant insights into defect management.
Collected under controlled conditions from publicly available Jira records, the dataset adheres to ethical guidelines, ensuring no privacy violations. This dataset is available to researchers and academics under a Creative Commons license, promoting wide access and fostering collaborative advancements in defect prediction and management technology
This dataset contains defect tracking information collected using Jira, provided by VMware. It has been used to train a machine learning model aimed at predicting and categorizing software defects. This dataset is uploaded to the IEEE Data Portal to facilitate further research and development in defect prediction and management.
Documentation
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readme.txt | 4.35 KB |
Comments
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kindly share dataset
Please provide access.