什么是面向AI工程师的软件质量？《迷雾渐淡》
What is Software Quality for AI Engineers? Towards a Thinning of the Fog
摘要：
通常，人工智能系统也是软件系统，因此依赖于软件质量保证（SQA）。因此，本研究的目标是调查在AI/ML组件和代码的开发、集成和维护过程中采用的软件质量保证策略。我们对10家开发AI系统的奥地利中小企业的代表进行了半结构化采访。对访谈数据的定性分析确定了AI/ML组件开发中的12个问题。此外，我们还确定了AI/ML组件中何时出现质量问题以及如何检测它们。这项研究的结果应该指导未来AI/ML组件的软件质量保证过程和技术的工作。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
