Kevin Feichtinger

• Postdoctoral Researcher at Karlsruhe Institute of Technology

Cyber-Physical Production Systems (CPPSs), such as automated car manufacturing plants, execute a configurable sequence of production steps to manufacture products from a product portfolio. In CPPS engineering, domain experts start with manually determining feasible production step sequences and resources based on implicit knowledge. This process is...

Um den effektiven und effizienten Betrieb von Cyberphysischen Produktionssystemen (CPPSen) sicherzustellen, spielt Software eine zunehmend wichtige Rolle. Die enormen Fortschritte bei Softwareentwicklungsmethoden, welche in den letzten Jahren erzielt wurden, scheinen jedoch die aktuellen Herausforderungen der Industrie nicht zu erfüllen, weil diese...

Cyber-Physical Production Systems (CPPSs) are envisioned as next-generation adaptive production systems combining modern production techniques with the latest information technology. A CPPS creates a complex environment between different domains (mechanical, electrical, software engineering), requiring multidisciplinary solutions to tackle growing...

Cyber-Physical Production Systems (CPPSs) are complex systems comprised of software and hardware interacting with each other and the environment. In industry, over time, a plethora of CPPSs are developed to satisfy varying customer requirements and changing technologies. Managing variability is challenging, especially in multidisciplinary environme...

Cyber-Physical Production Systems (CPPSs) are constantly evolving, highly configurable, complex software-intensive systems interacting with their environment. The variability of CPPSs must be well-documented to foster reuse, for which the Software Product Line (SPL) community proposed variability models. Unfortunately, industry is mostly unaware of...

Feature models are a de facto standard for representing the commonalities and variability of product lines and configurable software systems. Requirements-level features are commonly implemented in multiple source code artifacts, resulting in complex dependencies at the code level. As developers add and evolve features frequently, it is challenging...

In the domain of industrial automation companies nowadays need to serve a mass market while at the same time customers demand highly customized solutions. To tackle this problem, companies frequently define software product lines (SPLs), which allow to automatically derive and further customize individual solutions based on a common platform. SPLs...

Feature models are a de facto standard for representing the commonalities and variability of product lines and configurable software systems. Requirements-level features are commonly implemented in multiple source code artifacts, which results in complex dependencies at the code level. As developers change and evolve features frequently, it is chal...

[Context and Motivation] Organizations pursuing software product line engineering often use feature models to define the commonalities and variability of software-intensive systems. Frequently, requirements-level features are mapped to development artifacts to ensure traceability and to facilitate the automated generation of downstream artifacts. [...