Most modern software systems (operating systems like Linux or Android, Web browsers like
Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications …

A key challenge in software systems that are exposed to runtime variabilities, such as
workload fluctuations and service degradation, is to continuously meet performance …

Linux kernels are used in a wide variety of appliances, many of them having strong
requirements on the kernel size due to constraints such as limited memory or instant boot …

Linux kernels are used in a wide variety of appliances, many of them having strong
requirements on the kernel size due to constraints such as limited memory or instant boot …

In software performance engineering, what-if scenarios, architecture optimization, capacity
planning, run-time adaptation, and uncertainty management of realistic models typically …

The adoption of machine learning (ML) components in software systems raises new
engineering challenges. In particular, the inherent uncertainty regarding functional suitability …

With the emerging IoT and Cloud-based networked systems that rely heavily on
virtualization technologies, elasticity becomes a dominant system engineering attribute for …

Deriving extra-functional properties (eg, performance, security, reliability) from software
architectural models is the cornerstone of software development as it supports the designers …

Uncertainty in Informatics can stem from various sources, whether ontological (inherent
unpredictability, such as aleatory factors) or epistemic (due to insufficient knowledge) …

Uncertainty is present in model-based developments in many different ways. In the context
of composing model-based analysis tools, this chapter discusses how the combination of …