[2406.07737] The Future of AI-Driven Software Engineering

[2406.07737] The Future of AI-Driven Software Engineering

arXiv - Machine Learning 3 min read

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Abstract page for arXiv paper 2406.07737: The Future of AI-Driven Software Engineering

Computer Science > Software Engineering arXiv:2406.07737 (cs) [Submitted on 11 Jun 2024 (v1), last revised 26 Mar 2026 (this version, v2)] Title:The Future of AI-Driven Software Engineering Authors:Valerio Terragni, Annie Vella, Partha Roop, Kelly Blincoe View a PDF of the paper titled The Future of AI-Driven Software Engineering, by Valerio Terragni and Annie Vella and Partha Roop and Kelly Blincoe View PDF HTML (experimental) Abstract:A paradigm shift is underway in Software Engineering, with AI systems such as LLMs playing an increasingly important role in boosting software development productivity. This trend is anticipated to persist. In the next years, we expect a growing symbiotic partnership between human software developers and AI. The Software Engineering research community cannot afford to overlook this trend; we must address the key research challenges posed by the integration of AI into the software development process. In this paper, we present our vision of the future of software development in an AI-driven world and explore the key challenges that our research community should address to realize this vision. Comments: Subjects: Software Engineering (cs.SE); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Programming Languages (cs.PL) ACM classes: D.2.1; D.2.5; D.2.10 Cite as: arXiv:2406.07737 [cs.SE]   (or arXiv:2406.07737v2 [cs.SE] for this version)   https://doi.org/10.48550/arXiv.2406.07737 Focus to learn more arXiv-issued DOI via DataCite Jou...

Originally published on March 27, 2026. Curated by AI News.

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