Pre-trained large language models (LLMs) have recently emerged as a breakthrough
technology in natural language processing and artificial intelligence, with the ability to …

A/B testing, also referred to as online controlled experimentation or continuous
experimentation, is a form of hypothesis testing where two variants of a piece of software are …

Self-adaptive systems (SASs) are designed to handle changes and uncertainties through a
feedback loop with four core functionalities: monitoring, analyzing, planning, and execution …

While a recent study reveals that many developer-written test cases can encode a reusable
Metamorphic Relation (MR), over 70% of them directly hard-code the source input and …

Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning,
can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the …

The need for effective and timely testing processes has become critical in the constantly
changing field of software development. Large Language Models (LLMs) have …

Software systems enabling large-scale data analysis workflows (DAWs) are a key
technology for many scientific disciplines, as they allow extracting new insights from …

The understanding of large-scale scientific software is a significant challenge due to its
diverse codebase, extensive code length, and target computing architectures. The …

The Category Partition (CP) functional testing method has proven to be useful in various
contexts. It begins by identifying parameters and environment conditions on the basis of the …

Real-time systems play an important role in nu-merous industries, including automobiles,
telecommunications, medical systems, among others. When designing these systems, we …