ICML 2025poster0 citations
Position: Future Research and Challenges Remain Towards AI for Software Engineering
Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Kevin Ellis, Koushik Sen, Armando Solar-Lezama
Abstract
AI for software engineering has made remarkable progress, becoming a notable success within generative AI. Despite this, achieving fully automated software engineering is still a significant challenge, requiring research efforts across both academia and industry. In this position paper, our goal is threefold. First, we provide a taxonomy of measures and tasks to categorize work towards AI software engineering. Second, we outline the key bottlenecks permeating today's approaches. Finally, we highlight promising paths towards making progress on these bottlenecks to guide future research in this rapidly maturing field.
ai for code
BibTeX
@inproceedings{
gu2025position,
title={Position: Future Research and Challenges Remain Towards {AI} for Software Engineering},
author={Alex Gu and Naman Jain and Wen-Ding Li and Manish Shetty and Kevin Ellis and Koushik Sen and Armando Solar-Lezama},
booktitle={Forty-second International Conference on Machine Learning Position Paper Track},
year={2025},
url={https://openreview.net/forum?id=RuLsq4LSZK}
}