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Software development in the age of LLMs and XR

dc.contributor.authorGonzalez-Barahona, Jesus M.
dc.date.accessioned2024-03-11T11:47:09Z
dc.date.available2024-03-11T11:47:09Z
dc.date.issued2024-04-20
dc.identifier.citationJesus M. Gonzalez-Barahona. 2024. Software development in the age of LLMs and XR. In 2024 First IDE Workshop (IDE ’24), April 20, 2024, Lisbon, Portugal. ACM, New York, NY, USAes
dc.identifier.isbn979-8-4007-0580-9/24/04
dc.identifier.urihttps://hdl.handle.net/10115/30866
dc.descriptionPaper presented at the workshop.es
dc.description.abstractLet’s imagine that in a few years generative AI has changed software development dramatically, taking charge of most of the programming tasks. Let’s also assume that extended reality devices became ubiquitous, being the preferred interface for interacting with computers. This paper proposes how this situation would impact IDEs, by exploring how the development process would be affected, and analyzing which tools would be needed for supporting developers.es
dc.language.isoenges
dc.publisherACMes
dc.rightsPermission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. IDE ’24, April 20, 2024, Lisbon, Portugal © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM. ACM ISBN 979-8-4007-0580-9/24/04 https://doi.org/10.1145/3643796.3648457
dc.subjectXRes
dc.subjectVRes
dc.subjectARes
dc.subjectextended realityes
dc.subjectLLMes
dc.subjectgenerative AIes
dc.subjectIDEes
dc.subjectsoftware developmentes
dc.titleSoftware development in the age of LLMs and XRes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1145/3643796.3648457es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses


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