关键词: 人工智能, 大模型, 软件, 智能化, 软件工程, 软件形态

Abstract:

With the rapid advancement of artificial intelligence technology, particularly groundbreaking progress made by large models in domains such as natural language processing and computer vision, the development paradigms, architectural designs, interaction mechanisms, and deployment methods of traditional software are undergoing an unprecedented transformation. This paper aims to explore in depth the impact of artificial intelligence technologies—epitomized by large models—on the evolution of software forms. It systematically analyzes the intrinsic mechanisms through which large models drive software toward intelligent evolution, as well as the core characteristics exhibited by new software forms. Focusing on the requirements for intelligence grading, this paper proposes a software intelligence maturity model and corresponding implementation strategies. Additionally, it elaborates on the technical bottlenecks, security risks, ethical dilemmas, and engineering challenges confronting software evolution in the era of large models, and prospect its future development directions, thereby providing references for theoretical research and practical exploration in the intelligent evolution of software.

Key words: artificial intelligence, large models, software, intelligence, software engineering, software form