Published July 17, 2024
| Version v1
Dataset
Open
User stories for eCommerce systems
Authors/Creators
Description
This datasets provides 307 real-world user stories from 3 different eCommerce projects.
- Project A defines a complete set of requirements for a B2C focused onlineshop of a publishing house who aims do sell his own publications directly.
- Project B contains a partial set of requirements for a B2C focused onlineshop of a bookseller.
- Project C includes a subset of B2C and B2B requirements for an online bookstore, supplemented by an eProcurement module designed to provide information and automation for industrial customers.
Most of the user stories come with additional acceptance criteria, written in unstructured natural language.
The user stories have been anonymized and the merchant's real names were replaced with neutral terms.
This dataset has been used in our paper "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC" which has been accepted for presentation in the research track of the IEEE/ACM International Conference on Software Engineering (ICSE) 2025 and will be included in the conference proceedings.
The preprint of the paper is available on arXiv.
Files
Files
(45.4 kB)
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md5:e6deea64c86d29c1c26caa751ffa1c56
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45.4 kB | Download |
Additional details
Related works
- Is supplement to
- arXiv:2501.15181 (arXiv)