Self-Evolving AI Agents With Dual Memory for Automated Software Testing and Bug Localization
LS-CM (Long-Short Collaborative Memory), a dual-memory architecture that couples a Retrieval-Augmented Generation (RAG)-based short-term memory for code-base context with a Reinforcement Learning (RL)driven long-term memory that distills strategic patterns from historical test failures and patch iterations, is proposed.