Advanced approach for Agile/Scrum Process: RetroAI++

2025-06-18

AI Summary

To address inefficient sprint planning and perfunctory retrospective meetings in Agile/Scrum, this paper proposes RetroAI++—the first lightweight temporal reasoning framework integrating meeting transcripts, task logs, and code-level behavioral traces. Methodologically, it innovatively combines fine-tuned lightweight LLMs, event graph modeling, multi-granularity sentiment-topic joint analysis, and real-time incremental knowledge distillation to enable end-to-end interpretable process intelligence enhancement. Evaluated across eight real-world Scrum teams, RetroAI++ improves sprint plan validity by 37%, achieves 89.2% accuracy in generating actionable retrospective items, and reduces average meeting duration by 42%. This work establishes a deployable, interpretable, and evolvable AI-augmentation paradigm for Agile practice.

Technology Category

• Humans and AI: Human-Aware Planning and Behavior Prediction
• Planning, Routing, and Scheduling: Model-Based Reasoning
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning

Application Category

• Search and Retrieval-Augmented AI: Agentic search
• Semantics and Knowledge: Methods to enhance, augment, integrate or synergize semantic models such as knowledge graphs and LLMs
• User Modeling, Personalization and Recommendation: Fairness-aware retrieval and ranking

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 reflection.

Problem

• Automate Agile/Scrum sprint planning and retrospectives
• Enhance Agile processes with AI-driven insights
• Provide intelligent suggestions for sprint organization

Innovation

• AI-driven Agile/Scrum automation tool
• Intelligent sprint planning suggestions
• Automated retrospective analysis insights