Editorial: Machine learning for software engineering

Artificial intelligence techniques such as machine learning (ML) and particularly deep learning (DL) tools such as large language models (LLMs) Zhao et al. (2023) Cursor being widely-used to produce program code based on natural language requirements and partial 27 specifications, such as the intended results of test cases. This approach is highly usable for practitioners, The six selected papers investigate different applications of AI and ML to software engineering, across a 47 range of domains.In Uandykova et al. (2025), the authors analyse the potential for LLM use in generating industrial-quality 49 Java code. They evaluate the ChatGPT LLM on a range of realistic tasks. They identify that the LLM can 50 improve developer productivity, and help to efficiently allocate human resources in projects. However, the 51 study also points out limitations of the LLM for solving complex problems, and for the need for human 52 intervention to verify, correct, and improve generated code.