Problem
Research questions and friction points this paper is trying to address.
Quality of AI-based Software
Quality Assessment
Non-functional Requirements
Challenges and Contributions in Quality of AI-Based Software: A Systematic Mapping Study
🤖 AI Summary
本文通过系统映射研究法，分析了33篇关于AI软件质量的文章，识别出六大挑战，并呼吁研究者、从业者和标准化组织合作开发全面的质量评估方法。
📝 Abstract
Artificial Intelligence (AI) is increasingly embedded in modern software systems, raising important questions about how its quality should be defined, assessed, and assured. This paper presents a Systematic Mapping Study (SMS) on the quality of AI-based software. The study synthesizes primary studies published between January 2020 and January 2026 and selected from five electronic data sources. A total of 33 primary studies were included after automated search, screening, and snowballing. The results identify six recurring challenge categories, with the most prominent being limitations in existing quality assessment models, followed by issues in non-functional requirement management, quality-aware development, and quality assurance. The findings suggest a call for collaboration of researchers and industrial practitioners with standardization organizations, that could possibly devise comprehensive quality assessments and their measurement methods.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Systematic Mapping Study
Quality of AI-Based Software
Quality Assessment Models
Non-Functional Requirement Management
🔎 Similar Papers
2024-01-26arXiv.orgCitations: 5
