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Automatic code generation using artificial intelligence.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Automatic code generation using artificial intelligence./
作者:
Danilchenko, Yuri B.
面頁冊數:
1 online resource (124 pages)
附註:
Source: Masters Abstracts International, Volume: 73-03.
Contained By:
Masters Abstracts International73-03.
標題:
Computer engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9781124804354
Automatic code generation using artificial intelligence.
Danilchenko, Yuri B.
Automatic code generation using artificial intelligence.
- 1 online resource (124 pages)
Source: Masters Abstracts International, Volume: 73-03.
Thesis (M.S.)--Northern Kentucky University, 2011.
Includes bibliographical references
Automatic Code Generation (ACG) allows software engineers to create more concise, maintainable, and reusable solutions, ultimately improving their productivity. Despite the significant benefits and the profound economic impact of ACG in the software development field, it still often requires substantial input and interaction from humans. The presented Automatic Coder using Artificial Intelligence (ACAI) system uses a novel approach to solve fully automated code generation in routine programming domains. Given high level user goals and preferences, a library of abstract programs, and a library of generic code components, ACAI uses a combination of Case-Based Reasoning, Routine Design, and Template-Based Programming approaches to generate complete Java programs that satisfy user requirements.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9781124804354Subjects--Topical Terms:
569006
Computer engineering.
Subjects--Index Terms:
Artificial intelligenceIndex Terms--Genre/Form:
554714
Electronic books.
Automatic code generation using artificial intelligence.
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Includes bibliographical references
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Automatic Code Generation (ACG) allows software engineers to create more concise, maintainable, and reusable solutions, ultimately improving their productivity. Despite the significant benefits and the profound economic impact of ACG in the software development field, it still often requires substantial input and interaction from humans. The presented Automatic Coder using Artificial Intelligence (ACAI) system uses a novel approach to solve fully automated code generation in routine programming domains. Given high level user goals and preferences, a library of abstract programs, and a library of generic code components, ACAI uses a combination of Case-Based Reasoning, Routine Design, and Template-Based Programming approaches to generate complete Java programs that satisfy user requirements.
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