Context: The aim of statistical causal inference (SCI) methods is to estimate causal effects
from observational data (ie, when randomized controlled trials are not possible). In this …

Safety-critical systems are becoming increasingly configurable. However, as the number of
features and configurations grows, the systems' complexity also increases, making cyber …

Determining whether a configurable software system has a performance bug or it was
misconfigured is often challenging. While there are numerous debugging techniques that …

While recent deep learning workload schedulers exhibit excellent performance, it is arduous
to deploy them in practice due to some substantial defects, including inflexible intrusive …

Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …

Understanding the influence of configuration options on performance is key for finding
optimal system configurations, system understanding, and performance debugging. In prior …

Testing Autonomous Driving Systems (ADS) is essential for safe development of self-driving
cars. For thorough and realistic testing, ADS are usually embedded in a simulator and tested …

Performance degradation due to misconfiguration in software systems that violates SLOs
(service-level objectives) is commonplace. Diagnosing and explaining the root causes of …

A Software Product Line (SPL) is a family of similar programs. Each program is defined by a
unique set of features, called a configuration, that satisfies all feature constraints.“What …

The increasing number of attacks exploiting system vulnerabilities in recent years underpins
the growing importance of security; especially for software comprising configuration options …