Toward Sustainable Software Engineering Automation Advancing Sustainable Software Engineering Automation via, Quantization, Knowledge Distillation and PEFT Interpretable Neurosymbolic Software Engineering Decoding the Synergy of Neural and Symbolic Systems in Software Engineering Extra Functional Requirements of Large Code Models Unveiling the Hidden Challenges of LCMs--Robustness, Trustworthiness and Security
