Quality Attributes in the Age of Artificial Intelligence

With the advent of Artificial Intelligence (AI), the types and meanings of quality attributes have changed significantly. On April 2, 2025 as a portion of the 2025 International Conference on Software Architecture, some attendees held a ''working session'' on the topic ''Quality Attributes in the Age of AI''. This is a summary of the discussion in that working session.

Authors

Institutions

Publication Details

Journal
ACM SIGSOFT Software Engineering Notes
Published
2025-07-18
DOI
https://doi.org/10.1145/3743095.3743103
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quality Attributes in the Age of Artificial Intelligence

Len Bass, Qinghua Lu
ACM SIGSOFT Software Engineering Notes
Software System Performance and Reliability
article

Quality Attributes in the Age of Artificial Intelligence

Len Bass, Qinghua Lu
article en

Abstract

With the advent of Artificial Intelligence (AI), the types and meanings of quality attributes have changed significantly. On April 2, 2025 as a portion of the 2025 International Conference on Software Architecture, some attendees held a ''working session'' on the topic ''Quality Attributes in the Age of AI''. This is a summary of the discussion in that working session.

ACM SIGSOFT Software Engineering NotesVol. 50(3)
Commonwealth Scientific and Industrial Research Organisation (AU), Carnegie Mellon University (US)
Openalex Percentile: Top 62%
Software System Performance and Reliability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.