Software developers insert logging statements in their source code to record important
runtime information; such logged information is valuable for understanding system usage in …

Developers write logging statements to generate logs and record system execution
behaviors to assist in debugging and software maintenance. However, deciding where to …

In recent years, there has been a shift in software development towards microservice-based
architectures, which consist of small services that focus on one particular functionality. Many …

Logs contain valuable information about the runtime behaviors of software systems. Thus,
practitioners rely on logs for various tasks such as debugging, system comprehension, and …

To assist developers with debugging and analyzing bug reports, researchers have proposed
information retrieval-based bug localization (IRBL) approaches. IRBL approaches leverage …

Software benchmarks are only as good as the performance measurements they yield.
Unstable benchmarks show high variability among repeated measurements, which causes …

Testing machine learning software for ethical bias has become a pressing current concern.
In response, recent research has proposed a plethora of new fairness metrics, for example …

Developers rely on software logs for a wide variety of tasks, such as debugging, testing,
program comprehension, verification, and performance analysis. Despite the importance of …

Developers insert logging statements into source code to monitor system execution, which
forms the basis for software debugging and maintenance. For distinguishing diverse runtime …

Abstract Context: The Data Stream Processing (DSP) approach focuses on real-time data
processing by applying specific techniques for capturing and processing relevant data for on …