User Story NeoDataset
Description
This dataset includes User Story (or Issue) text descriptions, User Story titles, and Story Points from 33 software development projects, comprising a total of 20,479 User Stories (or issues) extracted from GitLab repositories, amounting to 12,262.7 Story Points. The mining process focused on GitLab’s top open-source projects that use agile software development methodologies and record task sizes in Story Points. Only tasks with the **State** attribute set to **Closed** and with the **Weight** attribute filled in were collected. The **Weight** field in GitLab is used to record the effort in Story Points. The data was mined between January 2023 and April 2023. The projects in the dataset have diverse characteristics, covering different programming languages, business domains, and geographic locations of the teams. The paper below describe shortly this dataset in **section 4.1 Dataset** Citation Suggestion Neo, G. S.; Moura, J.; Almeida, H.; Neo, A. and Freitas Júnior, O. (2024). User Story Tutor (UST) to Support Agile Software Developers. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 51-62. DOI: 10.5220/0012619200003693
Files
Steps to reproduce
# Python code ``` import pandas as pd df = pd.read_csv("hf://datasets/giseldo/neodataset/issues.csv") df.head() ```