Using LLM Artificial Intelligence Systems as Complex SQL Programming Assistants

Simple item page
dc.contributor.authorPornphol, Putsadee
dc.contributor.authorChittayasothorn, Suphamit
dc.date.accessioned2026-08-06T10:44:29Z
dc.date.available2026-08-06T10:44:29Z
dc.date.issued2024-01-01
dc.description.abstractLearning database programming such as SQL programming is a challenging task when the queries become more complex. SQL is a declarative language based on relational calculus which describes the definition of the query results instead of describing the procedure or steps used to obtain the query result. Tutorial sessions using tutorial assistances are generally required to support the learning of advanced part of the language. Recently generative AI systems demonstrated question answering capabilities including programming codes generation. This paper verifies the SQL code generating capabilities of four generative AI systems: Bing, Bard, ChatGPT, and Copilot and their suitability as SQL programming assistants.
dc.identifier.citation2024 12th International Conference on Information and Education Technology Iciet 2024, 187-191, 2024
dc.identifier.doi10.1109/ICIET60671.2024.10542806
dc.identifier.other2-s2.0-85196062854
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/15209
dc.source2024 12th International Conference on Information and Education Technology Iciet 2024
dc.subjectcomplex queries
dc.subjectdatabase
dc.subjectLLM
dc.subjectSQL
dc.titleUsing LLM Artificial Intelligence Systems as Complex SQL Programming Assistants
dc.typeConference Paper

Files

Collections

Research