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Quality attributes, challenges, and solutions for designing GenAI-enabled systems
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DOI:10.1016/j.infsof.2026.108207.png)
Abstract
En 中文
Generative Artificial Intelligence (GenAI), which enables to generate contextually relevant text, images, and other content, has emerged as a focal point of interest in recent years. The rapid advancement of GenAI technologies has driven the development of GenAI-enabled software systems across various domains, aiming to augment or replace human decision-making. Nevertheless, the pervasiveness of GenAI-enabled systems can be threatened by inadequate software quality attributes, which are a fundamental concern within the discipline of Software Engineering (SE).
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