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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.07737 |
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| _version_ | 1866908913541054464 |
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| author | Terragni, Valerio Vella, Annie Roop, Partha Blincoe, Kelly |
| author_facet | Terragni, Valerio Vella, Annie Roop, Partha Blincoe, Kelly |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07737 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Future of AI-Driven Software Engineering Terragni, Valerio Vella, Annie Roop, Partha Blincoe, Kelly Software Engineering Artificial Intelligence Machine Learning Programming Languages D.2.1; D.2.5; D.2.10 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. |
| title | The Future of AI-Driven Software Engineering |
| topic | Software Engineering Artificial Intelligence Machine Learning Programming Languages D.2.1; D.2.5; D.2.10 |
| url | https://arxiv.org/abs/2406.07737 |