Real-world data often exhibits bias, imbalance, and privacy risks. Synthetic datasets have
emerged to address these issues by enabling a paradigm that relies on generative AI …

Software accuracy and efficiency checks are becoming of paramount interest to system
users before utilization. As a result, twenty-first-century programmers are consciously …

Sažetak Cause-effect graphing is a commonly used black-box technique with many
applications in practice. It is important to be able to create accurate cause-effect graph …

Summary Metrics As Scores can be thought of as an interactive, multiple analysis of
variance (abbr.“ANOVA,” Chambers et al., 2017). An ANOVA might be used to estimate the …

We propose a distributional framework for assessing socio-technical risks of foundation
models with quantified statistical significance. Our approach hinges on a new statistical …

Software quality models aggregate metrics to indicate quality. Most metrics reflect counts
derived from events or attributes that cannot directly be associated with quality. Worse, what …

The increased demand for and use of autonomous driving and advanced driver assistance
systems has highlighted the issue of abnormalities occurring within the perception layers …

Stochastic dominance is an important concept in probability theory, econometrics and social
choice theory for robustly modeling agents' preferences between random outcomes. While …

Engineering and Beyond, Linnaeus University Dissertations No 430/2021, ISBN: 978-91-
89460-40-9 (print), 978-91-89460-41-6 (pdf). Ranking alternatives is fundamental to …

Software fault prediction is the process of identifying the software modules which are more
likely to be defective or faulty before the testing phase of software development life-cycle …