Agile Retrospectives: What went well? What didn't go well? What should we do?

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Spichkova, Maria, Lee, Hina, Iwan, Kevin, Zwart, Madeleine, Yoon, Yuwon, Qin, Xiaohan
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866913796314890240
author Spichkova, Maria
Lee, Hina
Iwan, Kevin
Zwart, Madeleine
Yoon, Yuwon
Qin, Xiaohan
author_facet Spichkova, Maria
Lee, Hina
Iwan, Kevin
Zwart, Madeleine
Yoon, Yuwon
Qin, Xiaohan
contents In Agile/Scrum software development, the idea of retrospective meetings (retros) is one of the core elements of the project process. In this paper, we present our work in progress focusing on two aspects: analysis of potential usage of generative AI for information interaction within retrospective meetings, and visualisation of retros' information to software development teams. We also present our prototype tool RetroAI++, focusing on retros-related functionalities.
format Preprint
id arxiv_https___arxiv_org_abs_2504_11780
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Agile Retrospectives: What went well? What didn't go well? What should we do?
Spichkova, Maria
Lee, Hina
Iwan, Kevin
Zwart, Madeleine
Yoon, Yuwon
Qin, Xiaohan
Software Engineering
Artificial Intelligence
In Agile/Scrum software development, the idea of retrospective meetings (retros) is one of the core elements of the project process. In this paper, we present our work in progress focusing on two aspects: analysis of potential usage of generative AI for information interaction within retrospective meetings, and visualisation of retros' information to software development teams. We also present our prototype tool RetroAI++, focusing on retros-related functionalities.
title Agile Retrospectives: What went well? What didn't go well? What should we do?
topic Software Engineering
Artificial Intelligence
url https://arxiv.org/abs/2504.11780