World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
10389
World Ranking
6427
National Ranking
301

Overview

Alexander Pretschner is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on computer science with a significant emphasis on information systems, software, computer networks and communications, artificial intelligence, and sociology and political science.

Their work spans multiple subfields and topics, including:

  • Software reliability and analysis research
  • Network security and intrusion detection
  • Information and cyber security
  • Software testing and debugging techniques
  • Software engineering research
  • Human-automation interaction and safety
  • Ethics and social impacts of AI

Alexander Pretschner's recent published papers showcase research contributions across several venues. Notable recent works include:

  • Maat (2021), published in ACM Transactions on Privacy and Security
  • Empowered and embedded: ethics and agile processes (2022), published in Humanities and Social Sciences Communications
  • Defining adaptivity and logical architecture for engineering (smart) self-adaptive cyber-physical systems (2022), published in Information and Software Technology
  • A comparative, sociotechnical design perspective on Responsible Innovation: multidisciplinary research and education on digitized energy and Automated Vehicles (2021), published in Journal of Responsible Innovation
  • PR-SZZ: How pull requests can support the tracing of defects in software repositories (2022), presented at the IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Cyber-Physical Systems
  • Informatik-Spektrum
  • ACM Transactions on Privacy and Security

Collaborations with other researchers form a significant part of their academic output. Frequent co-authors include Severin Kacianka, Sebastian Bănescu, Bianca Biebl, Valentin Zieglmeier, and Amjad Ibrahim.

Best Publications

  • A taxonomy of model-based testing approaches

    Mark Utting;Alexander Pretschner;Bruno Legeard

  • Model-Based Testing of Reactive Systems, Advanced Lectures

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

  • Ontology based personalized search

    A. Pretschner;S. Gauch

  • Software Engineering for Automotive Systems: A Roadmap

    A. Pretschner;M. Broy;I.H. Kruger;T. Stauner

  • Engineering Automotive Software

    M. Broy;I.H. Kruger;A. Pretschner;C. Salzmann

  • Distributed usage control

    Alexander Pretschner;Manuel Hilty;David Basin

  • One evaluation of model-based testing and its automation

    A. Pretschner;W. Prenninger;S. Wagner;C. Kühnel

  • A taxonomy of model-based testing

    Mark Utting;Alexander Pretschner;Bruno Legeard

  • A policy language for distributed usage control

    M. Hilty;A. Pretschner;D. Basin;C. Schaefer

  • Security Testing: A Survey

    Michael Felderer;Matthias Büchler;Martin Johns;Achim D. Brucker

  • On obligations

    Manuel Hilty;David Basin;Alexander Pretschner

  • Code obfuscation against symbolic execution attacks

    Sebastian Banescu;Christian Collberg;Vijay Ganesh;Zack Newsham

  • Model-Based Testing of Reactive Systems: Advanced Lectures (Lecture Notes in Computer Science)

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

  • Model-Based Development of Embedded Systems

    Bernhard Schätz;Alexander Pretschner;Franz Huber;Jan Philipps

  • Model-based testing

    Alexander Pretschner

  • Methodological Issues in Model-Based Testing

    Alexander Pretschner;Jan Philipps

  • Model-based security testing: a taxonomy and systematic classification

    Michael Felderer;Philipp Zech;Ruth Breu;Matthias Büchler

  • An empirical study on the effectiveness of static C code analyzers for vulnerability detection

    Unknown

  • Usage Control Enforcement: Present and Future

    A. Pretschner;M. Hilty;F. Schutz;C. Schaefer

  • Ethics in the Software Development Process: from Codes of Conduct to Ethical Deliberation

    Jan Gogoll;Niina Zuber;Severin Kacianka;Timo Greger

  • Model-based testing in practice

    Alexander Pretschner

  • Model-Based Testing of Reactive Systems, Advanced Lectures [The volume is the outcome of a research seminar that was held in Schloss Dagstuhl in January 2004]

    Manfred Broy;Bengt Jonsson;Joost-Pieter Katoen;Martin Leucker

Frequent Co-Authors

Manfred Broy
Manfred Broy Technical University of Munich
Martin Leucker
Martin Leucker University of Lübeck
Bengt Jonsson
Bengt Jonsson Uppsala University
Joost-Pieter Katoen
Joost-Pieter Katoen RWTH Aachen University
David Basin
David Basin ETH Zurich
Bertrand Meyer
Bertrand Meyer Schaffhausen Institute of Technology
Susan Gauch
Susan Gauch University of Arkansas at Fayetteville
Fabio Massacci
Fabio Massacci Vrije Universiteit Amsterdam
Florian Matthes
Florian Matthes Technical University of Munich
Stefan Wagner
Stefan Wagner University of Stuttgart

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As you explore Computer Science study options in the USA, it’s important to consider related online degrees and flexible career pathways. Online learning enables students worldwide to access top programs while balancing other life commitments.

For ambitious professionals, a cheapest mba online can open doors to management roles in tech-driven organizations. Many universities now offer accredited, cost-effective MBA programs tailored to computer science graduates.

Those seeking to advance quickly might consider a 1 year masters in related fields like data science, cybersecurity, or information systems. These accelerated programs provide focused expertise and can help you pivot or climb faster up the tech career ladder.

If earning potential is top of mind, discovering degrees you can get online that pay well can guide your study decisions. Several tech-aligned online programs lead directly to high-demand, lucrative positions.

The growth of artificial intelligence makes it a compelling choice as well. Explore the best online ai degree programs if you want to specialize at the forefront of innovation.

Best Scientists Citing Alexander Pretschner

Trending Scientists

Recently Published Articles