From Reviews to Requirements: Can LLMs Generate Human-Like User Stories?
From Reviews to Requirements: Can LLMs Generate Human-Like User Stories? explores Leveraging LLMs to automatically transform messy app store reviews into actionable, backlog-ready user stories for agile development.. Commercial viability score: 7/10 in LLM Applications.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisExploring LLMs for User Story Extraction from MockupsViability: 6.0
- Builds On ThisQualitative Evaluation of LLM-Designed GUIViability: 2.0
- Builds On ThisAssessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human EvaluationViability: 5.0
- Builds On ThisMore Code, Less Reuse: Investigating Code Quality and Reviewer Sentiment towards AI-generated Pull RequestsViability: 2.0
- Builds On ThisMind the Sim2Real Gap in User Simulation for Agentic Tasks
Related Resources
- What are the best practices for implementing causal prompt optimization in enterprise LLM applications?(question)
- How does modality-aware scheduling in RPS-Serve help with multimodal LLM applications?(question)
- How can AI infrastructure be optimized for real-time LLM applications requiring low latency?(question)