Investigating the Use of Large Language Models for Generating Abuser Stories for Early Security Threat Identification
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This repository contains the complete dataset, experimental inputs, raw outputs, and validation artifacts for the study assessing the effectiveness of Large Language Models (LLMs) in generating abuser stories from user stories. The study evaluated three models (GPT-4o mini, Claude 3.5 Haiku, Gemini 1.5 Flash) using two prompting techniques (Zero-Shot and One-Shot) across 10 real-world user stories.
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Zenodo创建时间:
2026-05-18



