生成式人工智能软件开发提示

IF 3.3 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Software Pub Date : 2024-08-07 DOI:10.1109/ms.2024.3410641
Christof Ebert, John Pravin Arockiasamy, Lennard Hettich, Michael Weyrich
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引用次数: 0

摘要

开发人员通过 GAI 提高了工作效率。然而,他们往往对如何进行 GAI 开发以及如何将 GAI 集成到系统中提出疑问。本文为开发 GAI 软件和使用 GAI 开发软件提供指导。文中分享了工业环境中的实用提示。
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Hints for Generative AI Software Development
Developers benefit from enhanced productivity with GAI. Yet, often they question how to approach GAI development and how to integrate GAI to their systems. This article provides guidance for developing GAI software and developing software with GAI. Practical hints are shared from industrial settings.
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来源期刊
IEEE Software
IEEE Software 工程技术-计算机:软件工程
CiteScore
5.50
自引率
6.10%
发文量
182
审稿时长
6-12 weeks
期刊介绍: IEEE Software delivers reliable, useful, leading-edge software development information to keep engineers and managers abreast of rapid technology change. Its mission is to build the community of leading software practitioners. The authority on translating software theory into practice, this magazine positions itself between pure research and pure practice, transferring ideas, methods, and experiences among researchers and engineers. Peerreviewed articles and columns by seasoned practitioners illuminate all aspects of the industry, including process improvement, project management, development tools, software maintenance, Web applications and opportunities, testing, and usability. The magazine''s readers specify, design, document, test, maintain, purchase, engineer, sell, teach, research, and manage the production of software or systems that include software. IEEE Software welcomes articles describing how software is developed in specific companies, laboratories, and university environments as well as articles describing new tools, current trends, and past projects'' limitations and failures as well as successes. Sample topics include geographically distributed development; software architectures; program and system debugging and testing; the education of software professionals; requirements, design, development, testing, and management methodologies; performance measurement and evaluation; standards; program and system reliability, security, and verification; programming environments; languages and language-related issues; Web-based development; usability; and software-related social and legal issues.
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