User stories for eCommerce systems

<p>This datasets provides 307 real-world user stories from 3 different eCommerce projects.</p> <ul> <li><strong>Project A</strong> defines a complete set of requirements for a&nbsp;B2C focused onlineshop of a publishing house who aims&nbsp;do sell his own publications directly.</li> <li><strong>Project B</strong> contains a partial set of requirements for a&nbsp;B2C focused onlineshop of a bookseller.</li> <li><strong>Project C</strong> includes a subset of B2C and B2B requirements for an online bookstore, supplemented by an eProcurement module designed to provide information and&nbsp;automation for industrial customers.</li> </ul> <p>Most of the user stories come with additional acceptance criteria, written in unstructured natural language.</p> <p>The user stories have been anonymized and the merchant's real names were replaced with neutral terms.</p> <p>This dataset has been used in our paper "From Bugs to Benefits: Improving User Stories by Leveraging Crowd Knowledge with CrUISE-AC" which&nbsp;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.</p> <div>The preprint of the paper is available on&nbsp;<a href="http://arxiv.org/abs/2501.15181" target="_blank" rel="noopener">arXiv</a>.</div>