A4 Vertaisarvioitu artikkeli konferenssijulkaisussa

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




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

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

Konferenssin vakiintunut nimiInternational Conference on Product-Focused Software Process Improvement

Julkaisuvuosi2025

Lehti: Lecture Notes in Computer Science

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

Vuosikerta16361

Aloitussivu561

Lopetussivu570

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

Julkaisun avoimuus kirjaamishetkelläEi avoimesti saatavilla

Julkaisukanavan avoimuus Ei avoin julkaisukanava

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

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/508248731


Tiivistelmä

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.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Julkaisussa olevat rahoitustiedot
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