Extensive Story Point Dataset in 16 Open Source Projects

This dataset has been created from sixteen open-source projects' management interface(JIRA) named as appceleratorstudio, aptanastudio, bamboo, clover, datamanagement, duracloud, jirasoftware, mesos, moodle, mule, mulestudio, springxd, talenddataquality, talendesb, titanium, and usergrid. This is used for academic purposes to quantify story point prediction in project environment. It includes title, description, storypoint, spDayCorrector, assignee, completionTime, and information that are necessary for a task estimation. Note:Although the projects analyzed in this study overlap with the dataset referenced in [Thanks to their work: 10.1109/TSE.2018.2792473], our dataset was independently generated and extracted directly from the source JIRA repositories using a proprietary JIRA plug-in developed by us.The necessity for this independent extraction stems from the requirement for a more granular and diverse feature set that was not available in existing public datasets. While the reference dataset primarily includes standard fields such as issuekey, title, description, and storypoint, our dataset introduces critical operational metrics specifically spDayCorrector, assignee, and completionTime. These additional features are essential for the advanced time-based and resource-specific analyses conducted in our research. Consequently, this dataset represents a distinct and expanded feature space, providing a more comprehensive view of the lifecycle of the projects involved.