Experience report on puzzle-based workshops for critical testing literacy, including observations from 13 sessions and an open-source web app for customization.
In: Proceedings of the 2025 29th International Confer- ence on Evaluation and Assessment in Software Engineering Companion
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Quantum neural networks achieve 83.3% sensitivity for anastomotic leak classification versus 66.7% for classical baselines on 14% prevalence clinical data.
citing papers explorer
-
Learning Critical Testing Literacy Through Puzzles: an Experience Report
Experience report on puzzle-based workshops for critical testing literacy, including observations from 13 sessions and an open-source web app for customization.
-
Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
Quantum neural networks achieve 83.3% sensitivity for anastomotic leak classification versus 66.7% for classical baselines on 14% prevalence clinical data.