For decades, much software engineering research has been dedicated to
devising automated solutions aimed at enhancing developer productivity and
elevating software quality. The past two decades have witnessed an unparalleled
surge in the development of intelligent solutions tailored for software
engineering tasks. This momentum established the Artificial Intelligence for
Software Engineering (AI4SE) area, which has swiftly become one of the most
active and popular areas within the software engineering field.
This Future of Software Engineering (FoSE) paper navigates through several
focal points. It commences with a succinct introduction and history of AI4SE.
Thereafter, it underscores the core challenges inherent to AI4SE, particularly
highlighting the need to realize trustworthy and synergistic AI4SE.
Progressing, the paper paints a vision for the potential leaps achievable if
AI4SE's key challenges are surmounted, suggesting a transition towards Software
Engineering 2.0. Two strategic roadmaps are then laid out: one centered on
realizing trustworthy AI4SE, and the other on fostering synergistic AI4SE.
While this paper may not serve as a conclusive guide, its intent is to catalyze
further progress. The ultimate aspiration is to position AI4SE as a linchpin in
redefining the horizons of software engineering, propelling us toward Software
Engineering 2.0.

软件工程领域的未来将依靠人工智能技术（AI4SE）的发展，以提升开发者的生产力、提高软件质量，并实现可信赖和协同工作的目标。