G. Pavan, S. Bharathi, K. Srikanya, P. Dileep 03 03 Runtime nondeterminism in software systems causes intermittent failures that are difficult to reproduce and debug Traditional statistical debugging detects correlations but cannot identify true root causes This paper implements a CausalityGuided Adaptive Interventional Debugging AID system using Django to automatically identify root causes of intermittent software failures The system analyzes execution logs containing runtime predicates from successful and failed executions constructs an Approximate Causal Directed Acyclic Graph ACDAG and applies group intervention strategy to iteratively prune noncausal predicates Experimental evaluation on synthetic and realworld bug datasets shows the system identifies root causes with 92 accuracy while reducing debugging iterations by 65 compared to traditional statistical debugging approaches Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026