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Future of software development with generative AI
by
Riekki, Jukka
, Doermann, David
, Sauvola, Jaakko
, Klemettinen, Mika
, Tarkoma, Sasu
in
Artificial Intelligence
/ Computer Science
/ Generative artificial intelligence
/ Industrial development
/ Large language models
/ Software
/ Software development
/ Software Engineering/Programming and Operating Systems
2024
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Future of software development with generative AI
by
Riekki, Jukka
, Doermann, David
, Sauvola, Jaakko
, Klemettinen, Mika
, Tarkoma, Sasu
in
Artificial Intelligence
/ Computer Science
/ Generative artificial intelligence
/ Industrial development
/ Large language models
/ Software
/ Software development
/ Software Engineering/Programming and Operating Systems
2024
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Do you wish to request the book?
Future of software development with generative AI
by
Riekki, Jukka
, Doermann, David
, Sauvola, Jaakko
, Klemettinen, Mika
, Tarkoma, Sasu
in
Artificial Intelligence
/ Computer Science
/ Generative artificial intelligence
/ Industrial development
/ Large language models
/ Software
/ Software development
/ Software Engineering/Programming and Operating Systems
2024
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Journal Article
Future of software development with generative AI
2024
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Overview
Generative AI is regarded as a major disruption to software development. Platforms, repositories, clouds, and the automation of tools and processes have been proven to improve productivity, cost, and quality. Generative AI, with its rapidly expanding capabilities, is a major step forward in this field. As a new key enabling technology, it can be used for many purposes, from creative dimensions to replacing repetitive and manual tasks. The number of opportunities increases with the capabilities of large-language models (LLMs). This has raised concerns about ethics, education, regulation, intellectual property, and even criminal activities. We analyzed the potential of generative AI and LLM technologies for future software development paths. We propose four primary scenarios, model trajectories for transitions between them, and reflect against relevant software development operations. The motivation for this research is clear: the software development industry needs new tools to understand the potential, limitations, and risks of generative AI, as well as guidelines for using it.
Publisher
Springer US,Springer Nature B.V
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