Collection
Call for Papers, Foundation Models for Software Engineering
This Special Issue on Foundation Models for Software Engineering in the ASE Journal (ASEJ) seeks to convene experts from the artificial intelligence and software engineering communities, including researchers, practitioners, and educators. Our objective is to collaboratively address the novel challenges presented by the advent of foundation models in our field.
Foundation models include Large Language Models (LLMs, e.g., ChatGPT and Gemeni) and Large Multi-modal Models (LMM, e.g., GPT4V and Gemeni Pro) have garnered significant attention from both the academic and industrial spheres. In addition to merely processing natural language, foundation models can also understand images and even videos. In the Software Engineering community, foundation models have been proved to be effective in various areas and tasks, including but not limited to code generation, test case generation, automatical program repair, code review, and software design. Furthermore, the advent of development tools rooted in foundation models, such as GitHub Copilot and Codeium, has markedly enhanced developmental efficiency, thereby gaining widespread popularity among developers.
The Special Issue on Foundation Models for Software Engineering is dedicated to uniting researchers and practitioners with the purpose of exploring innovative avenues in applying large-scale models to various areas and tasks within Software Engineering. This initiative seeks to enhance the efficiency and productivity of developers by leveraging the advanced capabilities of large models.
Read the full Call for Papers here.
Editors
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Cuiyun Gao
Harbin Institute of Technology, Shenzhen
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Xing Hu
Zhejiang University
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Xin Xia
Huawei, China
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Ge Li
Peking University
