Low Code for Smart Software Development
IEEE Software(2023)
摘要
The more we know about patterns in code, the better we can support those patterns. In this article, Jordi Cabot and Robert Claris ´o discuss the promise and perils of AI enhanced low-code environments that allow programmers and non=programmers alike to quickly deliver software solutions. They offer a “wish list” that outlines what developers need to watch for in low-code tools for smart software. Got anything else you want to say about SE+AI? For SE+AI applications, you have a surprising result or industrial experience? Something that challenges decades of conventional thinking in software engineering? If so, email a one paragraph synopsis to tim@menzies.us (use the subject line “SE for AI: Idea: [your idea]”). If that looks interesting, I’ll ask you to submit a 1,000- to 2,400-word article (where each graph, table, or figure is worth 250 words) for review for IEEE Software. Note: Heresies are more than welcome (if supported by well-reasoned industrial experiences, case studies, or other empirical results).—Tim Menzies
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关键词
Codes,Software,Artificial intelligence,Software engineering
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