Generative design refers to a methodology that not only simulates the characteristics of a
given data or system but also creates artificial data for various purposes. It'sa significant …

Abstract Machine learning (ML) models have gained significant attention in a variety of
applications, from computer vision to natural language processing, and are almost always …

Cyber-Physical Production Systems (CPPSs) are envisioned as next-generation adaptive
production systems combining modern production techniques with the latest information …

Context: Data-intensive systems, aka big data systems (BDS), are software systems that
handle a large volume of data in the presence of performance quality attributes, such as …

Today's software systems like cyber-physical production systems or big data systems have
to process large volumes and diverse types of data which heavily influences the quality of …

Developers sometimes choose design and implementation shortcuts due to the pressure
from tight release schedules. However, shortcuts introduce technical debt that increases as …

Technical Debt (TD) has proven to be a suitable communication concept for software-
intensive contexts to raise awareness regarding longterm negative effects of deviations from …

Today, the amount and complexity of data that is globally produced increases continuously,
surpassing the abilities of traditional approaches. Therefore, to capture and analyze those …

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 …

The ever-increasing amount, variety as well as generation and processing speed of today's
data pose a variety of new challenges for develo** Data-Intensive Software Systems …