.png){kind=icon}
.png){kind=icon}
Return
Low Code for Smart Software Development
.png){kind=icon}
PRE
AI
DOI：10.1109/MS.2022.3211352.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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
Keywords:
Codes
Software
Artificial intelligence
Software engineering