论文标题
AI工程师的软件质量是什么？走向雾的稀疏
What is Software Quality for AI Engineers? Towards a Thinning of the Fog
论文作者
论文摘要
经常监督AI支持的系统也是软件系统，因此依靠软件质量保证（SQA）。因此，这项研究的目的是研究AI/ML组件和代码的开发，集成和维护期间采用的软件质量保证策略。我们对十个奥地利中小型企业的代表进行了半结构化访谈，这些中小型中小型中小型企业开发了AI-ai-ai-aigable系统。对访谈数据的定性分析确定了在AI/ML组件开发中的12个问题。此外，我们确定何时在AI/ML组件中出现质量问题以及如何检测到它们。这项研究的结果应指导AI/ML组件的软件质量保证过程和技术的未来工作。
It is often overseen that AI-enabled systems are also software systems and therefore rely on software quality assurance (SQA). Thus, the goal of this study is to investigate the software quality assurance strategies adopted during the development, integration, and maintenance of AI/ML components and code. We conducted semi-structured interviews with representatives of ten Austrian SMEs that develop AI-enabled systems. A qualitative analysis of the interview data identified 12 issues in the development of AI/ML components. Furthermore, we identified when quality issues arise in AI/ML components and how they are detected. The results of this study should guide future work on software quality assurance processes and techniques for AI/ML components.
