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Computer Science

D-Index
33
Citations
4110
World Ranking
12760
National Ranking
115

Overview

Rick Rabiser is affiliated with Johannes Kepler University of Linz in Austria. Their research spans several interconnected fields within computer science and engineering, focusing on software engineering methodologies and their applications to industrial and manufacturing engineering contexts.

The main fields of study in Rabiser's work include:

  • Computer Science
  • Engineering

Within these broad domains, their research interests encompass various subfields such as:

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence
  • Information Systems
  • Control and Systems Engineering
  • Computer Networks and Communications

They have addressed key topics, including:

  • Advanced Software Engineering Methodologies
  • Flexible and Reconfigurable Manufacturing Systems
  • Digital Transformation in Industry
  • Service-Oriented Architecture and Web Services
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Business Process Modeling and Analysis

Rick Rabiser's prominent publication venues reflect the interdisciplinary nature of their research, with frequent contributions to:

  • Journal of Systems and Software
  • 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)

Their recent papers demonstrate continued engagement with variability management and cyber-physical production systems. Selected publications include:

  • "Towards Mastering Variability in Software-Intensive Cyber-Physical Production Systems" (2021, Procedia Computer Science)
  • "Industry Voices on Software Engineering Challenges in Cyber-Physical Production Systems Engineering" (2022, 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA))
  • "Evolution in dynamic software product lines" (2020, Journal of Software Evolution and Process)
  • "UVL: Feature modelling with the Universal Variability Language" (2025, Journal of Systems and Software)
  • "Uvl: Feature Modelling with the Universal Variability Language" (2024, SSRN Electronic Journal)

Their frequent collaborators include:

  • Kevin Feichtinger
  • Alois Zoitl
  • Kristof Meixner
  • Sandra Greiner
  • Antonio Manuel Gutiérrez Fernández

Best Publications

  • Cool features and tough decisions: a comparison of variability modeling approaches

    Krzysztof Czarnecki;Paul Grünbacher;Rick Rabiser;Klaus Schmid

  • The DOPLER meta-tool for decision-oriented variability modeling: a multiple case study

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser

  • Software diversity: state of the art and perspectives

    Ina Schaefer;Rick Rabiser;Dave Clarke;Lorenzo Bettini

  • A comparison of decision modeling approaches in product lines

    Klaus Schmid;Rick Rabiser;Paul Grünbacher

  • A systematic review and an expert survey on capabilities supporting multi product lines

    Gerald Holl;Paul Grünbacher;Rick Rabiser

  • Requirements for product derivation support: Results from a systematic literature review and an expert survey

    Rick Rabiser;Paul Grünbacher;Deepak Dhungana

  • Structuring the modeling space and supporting evolution in software product line engineering

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser;Thomas Neumayer

  • Supporting Product Derivation by Adapting and Augmenting Variability Models

    R. Rabiser;P. Grunbacher;D. Dhungana

  • Agile product line planning: A collaborative approach and a case study

    Muhammad A. Noor;Rick Rabiser;Paul Grünbacher

  • CASE Tool Support for Variability Management in Software Product Lines

    Rabih Bashroush;Muhammad Garba;Rick Rabiser;Iris Groher

  • Flexible and scalable consistency checking on product line variability models

    Michael Vierhauser;Paul Grünbacher;Alexander Egyed;Rick Rabiser

  • A qualitative study on user guidance capabilities in product configuration tools

    Rick Rabiser;Paul Grunbacher;Martin Lehofer

  • ReMinds : A flexible runtime monitoring framework for systems of systems

    Michael Vierhauser;Rick Rabiser;Paul Grünbacher;Klaus Seyerlehner

  • A comparison framework for runtime monitoring approaches

    Rick Rabiser;Sam Guinea;Michael Vierhauser;Luciano Baresi

  • DecisionKing: A Flexible and Extensible Tool for Integrated Variability Modeling.

    Deepak Dhungana;Paul Grünbacher;Rick Rabiser

  • Configuration of Multi Product Lines by Bridging Heterogeneous Variability Modeling Approaches

    Deepak Dhungana;Dominik Seichter;Goetz Botterweck;Rick Rabiser

  • Industry Voices on Software Engineering Challenges in Cyber-Physical Production Systems Engineering

    Unknown

  • Supporting distributed product configuration by integrating heterogeneous variability modeling approaches

    José A. Galindo;Deepak Dhungana;Rick Rabiser;David Benavides

  • Yet another textual variability language?: a community effort towards a unified language

    Chico Sundermann;Kevin Feichtinger;Dominik Engelhardt;Rick Rabiser

  • Requirements monitoring frameworks

    Michael Vierhauser;Rick Rabiser;Paul Grünbacher

  • Supporting Evolution in Model-Based Product Line Engineering

    D. Dhungana;T. Neumayer;P. Grunbacher;R. Rabiser

Frequent Co-Authors

Paul Grünbacher
Paul Grünbacher Johannes Kepler University of Linz
David Benavides
David Benavides University of Seville
Alexander Egyed
Alexander Egyed Johannes Kepler University of Linz
Luciano Baresi
Luciano Baresi Polytechnic University of Milan
Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
Danny Weyns
Danny Weyns KU Leuven
Markus Schedl
Markus Schedl Johannes Kepler University of Linz
Ita Richardson
Ita Richardson University of Limerick
Birgit Vogel-Heuser
Birgit Vogel-Heuser Technical University of Munich

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