Big data systems (BDSs) are complex, consisting of multiple interacting hardware and
software components, such as distributed computing nodes, databases, and middleware …

Monitoring software systems at runtime is key for understanding workloads, debugging, and
self-adaptation. It typically involves collecting and storing observable software data, which …

Anomaly detection is an essential activity for identifying abnormal behaviours in
microservice-based systems. A common approach is to model the system behaviour during …

Logging plays a crucial role in software engineering because it is key to perform various
tasks including debugging, performance analysis, and detection of anomalies. Despite the …

This study aims to examine the relationships between school principals' entrepreneurial
competencies, sustainable management behaviours and generative leadership according to …

In order for a software system to self-adapt, it often needs to be aware of its behavior. A
typical way of achieving this is by means of the runtime collection of execution traces, which …

The understanding of the behavioral aspects of a software system is an essential enabler for
many software engineering activities, such as adaptation. This involves collecting runtime …

Software systems with quality of service (QoS), such as database management systems and
web servers, are ubiquitous. Such systems must meet strict performance requirements …

High availability (HA) is becoming an increasingly important requirement in a growing
number of domains. It is even mandatory for critical systems, such as networking and …

Behaviors of an object-oriented system can be visualized as reverse-engineered sequence
diagrams from execution traces. This approach is a valuable tool for program …