A4 Refereed article in a conference publication

PostItFlow: An Early Study on Agent-Based Workflow for Enhancing and Visualizing User Stories




AuthorsWeerakoon, Oshani; Rytilahti, Juuso; Mäkilä, Tuomas; Kaila, Erkki; Oyedeji, Shola

EditorsScanniello, Giuseppe; Lenarduzzi, Valentina; Romano, Simone; Vegas, Sira; Francese, Rita

Conference nameInternational Conference on Product-Focused Software Process Improvement

Publication year2025

Journal: Lecture Notes in Computer Science

Book title Product-Focused Software Process Improvement : 26th International Conference, PROFES 2025, Salerno, Italy, December 1–3, 2025, Proceedings

Volume16361

First page 561

Last page570

ISBN978-3-032-12088-5

eISBN978-3-032-12089-2

ISSN0302-9743

eISSN1611-3349

DOIhttps://doi.org/10.1007/978-3-032-12089-2_42

Publication's open availability at the time of reportingNo Open Access

Publication channel's open availability No Open Access publication channel

Web address https://doi.org/10.1007/978-3-032-12089-2_42

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/508248731

Self-archived copy's versionFinal draft


Abstract

Incomplete or missing requirements are a primary cause of project failure. During the initial phase of requirements elicitation, shortcomings frequently arise due to stakeholders’ differing perspectives and the predominance of elicitation methods that emphasize textual extraction. To address this challenge, we introduce PostItFlow, an AI agent-based workflow designed to provide a simple, easy-to-generate, and holistic visual overview of requirements. PostItFlow visualizes events and interactions among components, systems, and entities within a collection of user stories under an epic. Its objective is to reduce missed and incomplete requirements at the early stages of elicitation by offering a practical visual aid that can be utilized by both customers and requirements engineering (RE) practitioners. The visual output is produced through four progressive steps using GPT-5: (i) finalizing the given epic by adding supplementary stories where necessary, (ii) integrating a potential timeline that reflects the phases of the user story flow, (iii) enriching events related to entities or components with additional details, and (iv) generating the HTML-based visual output. We also demonstrate our workflow using a selected case study. This workflow will undergo industrial testing, with further enhancements guided by evaluations of usability, accuracy, and relevance to the information visualized. The prototype has been published as open source on Zenodo.


Funding information in the publication
This work has been supported by FAST, the Finnish Software Engineering Doctoral Research Network, funded by the Ministry of Education and Culture, Finland.


Last updated on 28/01/2026 10:28:06 AM