From Failure to Persistence: A Lifecycle Study of Reliability in Stack Overflow Answers – Replication Package

Stack Overflow’s community-driven maintenance model faces mounting pressure from declining participation following the mainstream adoption of large language models (LLMs). This study introduces the reliability-trajectory framework to address this gap, sampling 1,500 focal-answer trajectories across four language ecosystems (Python, JavaScript, Java, C#), spanning symmetric pre-LLM and post-LLM observation windows. Each trajectory was manually annotated for failure presence, type, temporal origin, detection channel, repair status, and persistence. Survival analysis, logistic regression, and a 250-case LLM benchmark complemented the annotation. This replication package contains relevant details for the accompanying manuscript. Refer to README.md for further usage details.