A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
PostItFlow: An Early Study on Agent-Based Workflow for Enhancing and Visualizing User Stories
Tekijät: Weerakoon, Oshani; Rytilahti, Juuso; Mäkilä, Tuomas; Kaila, Erkki; Oyedeji, Shola
Toimittaja: Scanniello, Giuseppe; Lenarduzzi, Valentina; Romano, Simone; Vegas, Sira; Francese, Rita
Konferenssin vakiintunut nimi: International Conference on Product-Focused Software Process Improvement
Julkaisuvuosi: 2025
Lehti: Lecture Notes in Computer Science
Kokoomateoksen nimi: Product-Focused Software Process Improvement : 26th International Conference, PROFES 2025, Salerno, Italy, December 1–3, 2025, Proceedings
Vuosikerta: 16361
Aloitussivu: 561
Lopetussivu: 570
ISBN: 978-3-032-12088-5
eISBN: 978-3-032-12089-2
ISSN: 0302-9743
eISSN: 1611-3349
DOI: https://doi.org/10.1007/978-3-032-12089-2_42
Julkaisun avoimuus kirjaamishetkellä: Ei avoimesti saatavilla
Julkaisukanavan avoimuus : Ei avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1007/978-3-032-12089-2_42
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508248731
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. |
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.