Coping with evolution in automated production systems implies a cross-disciplinary
challenge along the system's life-cycle for variant-rich systems of high complexity. The …

Abstract Industry 4.0 integrates cyber-physical systems with the Internet of Things to optimize
the complete value-added chain. Successfully applying Industry 4.0 requires the …

Over more than two decades, numerous variability modeling techniques have been
introduced in academia and industry. However, little is known about the actual use of these …

Background: Systematic literature studies are commonly used in software engineering.
There are two main ways of conducting the searches for these type of studies; they are …

Context: Variability (ie, the ability of software systems or artifacts to be adjusted for different
contexts) became a key property of many systems. Objective: We analyze existing research …

Handling large-scale software variability is still a challenge for many organizations. After
decades of research on variability management concepts, many industrial organizations …

Software reuse lowers development costs and improves the quality of software systems. Two
strategies are common: clone & own (copying and adapting a system) and platform-oriented …

CONTEXT: Variability management (VM) is one of the most important activities of software
product-line engineering (SPLE), which intends to develop software-intensive systems using …

Variability models represent the common and variable features of products in a product line.
Since the introduction of FODA in 1990, several variability modeling languages have been …

CONTEXT: In software development, Testing is an important mechanism both to identify
defects and assure that completed products work as specified. This is a common practice in …