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giseldo
/
neodataset

Tasks:
Feature Extraction
Text Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
10K - 100K
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  - 10K<n<100K
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  ---
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- This dataset contains User Story and Story Points
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  ### Dataset Structure
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@@ -25,3 +25,119 @@ This dataset contains User Story and Story Points
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  | description | string | User Story description |
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  | storypoints | int64 | Story Point |
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  - 10K<n<100K
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  ---
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+ This dataset contains User Story text and Story Points
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  ### Dataset Structure
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  | description | string | User Story description |
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  | storypoints | int64 | Story Point |
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+
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+ # NEODATASET
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+ NEODATASET is a dataset containing title and description in natural language of User Stories and their Story Points extracted from GitLab.
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+ This dataset is used in my research, [User Story Tutor](https://github.com/giseldo/userstory), and was presented in [this article](https://www.scitepress.org/PublicationsDetail.aspx?ID=PpuYOsDviJ4=&t=1). A version of the [article is also available at arxiv](https://arxiv.org/abs/2406.16259).
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+ Another use of this dataset can be seen in [this another article at arxiv](https://arxiv.org/abs/2503.13279) from another researchers.
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+ Some information (in brazilian portuguese) can be read at [this paper](https://periodicos.ufpe.br/revistas/index.php/RMP/article/view/265431/49351).
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+
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+ ## Description
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+ This dataset encompasses data from 34 software development projects, with 40.014 User Stories taken from GitLab repositories, totaling 163.897 Story Points. It is made available on GitHub, huggging face and mendeley data, so that the entire interested community can contribute, similarly to what happens with other datasets.
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+ This dataset was mined during January 2023 and April 2023. The mining process targeted GitLab’s top open-source projects. The selected projects employ agile software development methodologies and had the size of their tasks recorded in Story Points. To mine information from GitLab, we created an extraction tool implemented in Python that connects to GitLab via API. Only Tasks with the State attribute equal to Closed and that have the weight attribute filled in were collected. The weight field is used in GitLab to record the effort in Story Points. More information about the projects included in the dataset is also available directly from GitLab.
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+ The projects in the dataset have different characteristics and cover different programming languages, different business domains, and different geographic locations of the team. The main entity of the dataset is the User Story (or Issue), which contains the main information. The CSV format is easier to use and contains only the attributes: issue key, created, title, description, and story points, making it more user-friendly.
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+ The expected contribution is that this data set can assist education and research on agile software development. Although our dataset was initially designed for Story Points and User Story estimation training and research, it also includes information relevant to other software engineering aspects. In addition to providing a possibility to reproduce findings from other studies.
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+
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+ ## CSV dataset columns
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+
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+ ```mermaid
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+ classDiagram
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+ class Issue {
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+ - issuekey
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+ - created
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+ - title
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+ - description
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+ - storypoints
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+ }
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+ ```
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+
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+ - issuekey: User Story ID
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+ - created: Date of the created of the User Story
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+ - title: Title of User Story
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+ - description: Description of User Story
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+ - storypoints: Count of the user story informed by the team
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+
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+ ![image](https://github.com/user-attachments/assets/45c6bd85-9e80-4ea9-9efa-862e63a7365b)
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+
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+ ## Info
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+
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+ You can also access this dataset in only one CSV file from [HuggingFace repository](https://huggingface.co/datasets/giseldo/neodataset). It also is available at [Mendeley Data](https://data.mendeley.com/datasets/skk2wn9j86/1).
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+ ```Python
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+ import pandas as pd
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+ df = pd.read_csv("hf://datasets/giseldo/neodataset/issues.csv")
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+ ```
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+
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+ # Projects in dataset
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+ | ID | Projeto | Total Tarefas | Total SP | Média | STD | Mín | 25% | 50% | 75% | Max |
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+ | --------- | --------------------------- | ------------- | ----------- | ----- | ---- | --- | ---- | --- | --- | --- |
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+ | 10152778 | Minds | 521 | 1594 | 3,1 | 4,2 | 0 | 1 | 2 | 3 | 80 |
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+ | 10171280 | Minds Mobile | 2796 | 7213 | 2,6 | 2,7 | 0 | 1 | 2 | 3 | 50 |
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+ | 12894267 | MLReef | 285 | 1419 | 5,0 | 5,0 | 0 | 2 | 4 | 6 | 40 |
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+ | 3828396 | GitLab Chart | 15 | 31 | 2,1 | 1,2 | 1 | 1 | 2 | 2 | 5 |
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+ | 6206924 | Tildes | 42 | 91 | 2,2 | 1,0 | 1 | 1,25 | 2 | 3 | 4 |
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+ | 12584701 | StackGres | 171 | 1106 | 6,5 | 7,4 | 1 | 2 | 4 | 8 | 48 |
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+ | 7764 | Gitlab.com | 355 | 970 | 2,7 | 7,2 | 0 | 1 | 2 | 3 | 128 |
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+ | 12450835 | Duplicity | 424 | 5798 | 13,7 | 22,1 | 4 | 6 | 6 | 12 | 260 |
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+ | 28847821 | Buyer Experience | 1004 | 2665 | 2,7 | 2,0 | 0 | 1 | 2 | 4 | 14 |
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+ | 10174980 | Veloren | 178 | 502 | 2,8 | 2,8 | 1 | 1 | 2 | 3 | 15 |
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+ | 250833 | Gitlab Runner | 13 | 35 | 2,7 | 2,2 | 1 | 1 | 2 | 3 | 9 |
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+ | 23285197 | Subway | 284 | 507 | 1,8 | 1,5 | 0 | 1 | 1 | 2 | 13 |
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+ | 1304532 | Gitlab GL Infra Reliability | 1724 | 4520 | 2,6 | 2,5 | 0 | 1 | 2 | 3 | 21 |
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+ | 14052249 | Mythictable | 167 | 509 | 3,0 | 2,9 | 1 | 2 | 2 | 3 | 20 |
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+ | 28419588 | Lazarus | 144 | 17800 | 123,6 | 48,7 | 100 | 100 | 100 | 100 | 300 |
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+ | 4456656 | Pajamas Design System | 344 | 684 | 2,0 | 1,6 | 0 | 1 | 1 | 3 | 13 |
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+ | 3836952 | Tezos | 103 | 2771 | 26,9 | 38,6 | 0 | 2,5 | 5 | 32 | 100 |
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+ | 7603319 | Meltano | 237 | 1107 | 4,7 | 5,3 | 0 | 1 | 4 | 8 | 40 |
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+ | 7776928 | Triage ops | 216 | 442 | 2,0 | 1,2 | 1 | 1 | 2 | 2 | 10 |
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+ | 2670515 | Customers gitlab com | 1574 | 3137 | 2,0 | 1,2 | 0 | 1 | 2 | 2 | 15 |
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+ | 21149814 | Opengeoweb | 1942 | 5668 | 2,9 | 1,5 | 1 | 2 | 3 | 3 | 20 |
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+ | 15502567 | Kicad | 3284 | 34692 | 10,6 | 14,2 | 4 | 6 | 6 | 10 | 268 |
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+ | 1714548 | Petals Vockpit | 154 | 400 | 2,6 | 1,5 | 1 | 1 | 2 | 3 | 8 |
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+ | 7128869 | Nlx | 327 | 1355 | 4,1 | 3,6 | 0 | 2 | 3 | 5 | 21 |
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+ | 10171263 | Minds Backend Engine | 982 | 3742 | 3,8 | 3,7 | 0 | 2 | 3 | 5 | 32 |
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+ | 14976868 | Database Lab Engine | 113 | 721 | 6,4 | 7,6 | 1 | 2 | 4 | 8 | 42 |
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+ | 2009901 | Gitaly | 171 | 401 | 2,3 | 1,5 | 1 | 1 | 2 | 3 | 13 |
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+ | 28644964 | FPC Source | 102 | 14200 | 139,2 | 63,2 | 100 | 100 | 100 | 200 | 300 |
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+ | 7071551 | Gitlab UI | 310 | 600 | 1,9 | 2,0 | 0 | 1 | 2 | 2 | 32 |
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+ | 734943 | Gitlab Pages | 121 | 265 | 2,2 | 2,6 | 1 | 1 | 1 | 3 | 20 |
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+ | 10171270 | Minds Frontend | 1845 | 5695 | 3,1 | 3,2 | 0 | 1 | 2 | 4 | 40 |
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+ | 5261717 | Gitlab vscode extension | 106 | 185 | 1,7 | 0,7 | 1 | 1 | 2 | 2 | 4 |
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+ | 19921167 | Glaxnimate | 420 | 1802 | 4,3 | 4,0 | 1 | 2 | 3 | 5 | 40 |
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+
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+ Foi removido o projeto abaixo, pois é muito grande. Consulte https://github.com/giseldo/neodataset caso queira também incluir o projeto abaixo
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+ | 278964 | GitLab | 19548 | 41270 | 2,1 | 1,8 | 0 | 1 | 2 | 3 | 160 |
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+
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+ ## How to cite
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+ 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
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+
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+ ```bibtex
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+ @conference{csedu24,
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+ author={Giseldo S. {Neo} and José Moura and Hyggo Almeida and Alana Neo and Olival {Freitas Júnior}},
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+ title={User Story Tutor (UST) to Support Agile Software Developers},
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+ booktitle={Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU},
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+ year={2024},
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+ pages={51-62},
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+ publisher={SciTePress},
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+ organization={INSTICC},
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+ doi={10.5220/0012619200003693},
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+ isbn={978-989-758-697-2},
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+ issn={2184-5026},
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+ }
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+ ```
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+ ## Contact Autor
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+ Giseldo S. Neo at [email protected]. More about-me in [ResearchGate](https://www.researchgate.net/profile/Giseldo-Neo) or in my [personal site](http://giseldo.github.io).