Advanced approach for Agile/Scrum Process: RetroAI++

In Agile/Scrum software development, sprint planning and retrospective analysis are the key elements of project management. The aim of our work is to support software developers in these activities. In this paper, we present our prototype tool RetroAI++, based on emerging intelligent technologies. In our RetroAI++ prototype, we aim to automate and refine the practical application of Agile/Scrum processes within Sprint Planning and Retrospectives. Leveraging AI insights, our prototype aims to automate and refine the many processes involved in the Sprint Planning, Development and Retrospective stages of Agile/Scrum development projects, offering intelligent suggestions for sprint organisation as well as meaningful insights for retrospective refection.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.222
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced approach for Agile/Scrum Process: RetroAI++

Hina Lee, Maria Spichkova, Kevin Iwan, Madeleine Zwart et al.
Procedia Computer Science
Software Engineering Techniques and Practices
article

Advanced approach for Agile/Scrum Process: RetroAI++

Hina Lee, Maria Spichkova, Kevin Iwan, Madeleine Zwart, Yuwon Yoon, Xiaohan Qin
article en

Abstract

In Agile/Scrum software development, sprint planning and retrospective analysis are the key elements of project management. The aim of our work is to support software developers in these activities. In this paper, we present our prototype tool RetroAI++, based on emerging intelligent technologies. In our RetroAI++ prototype, we aim to automate and refine the practical application of Agile/Scrum processes within Sprint Planning and Retrospectives. Leveraging AI insights, our prototype aims to automate and refine the many processes involved in the Sprint Planning, Development and Retrospective stages of Agile/Scrum development projects, offering intelligent suggestions for sprint organisation as well as meaningful insights for retrospective refection.

Procedia Computer ScienceVol. 270
RMIT University (AU)
Openalex Percentile: Top 53%
Software Engineering Techniques and Practices
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