Gerti Kappel


Image
O.Univ.Prof.in Dipl.-Ing.in
Mag.a Dr.in techn.

Gerti Kappel

  • About:

    Gerti Kappel is full professor at the Institute of Information Systems Engineering at TU Wien, in the Business Informatics Group. Prior to that, from 1993 to 2001, she was a full professor of computer science (database systems) and head of the Department of Information Systems at the Johannes Kepler University Linz.

    From 2016 to 2019, she was a member of the dean’s team of the Faculty of Informatics responsible for research, diversity, and financial affairs. Since the beginning of 2020 she acts as the dean of the Faculty of Informatics at TU Wien.

    Her current research interests include Model Engineering, Web Engineering, and Process Engineering, with a special emphasis on cyber-physical production systems. Striving for the unity of research and teaching, she co-authored and co-edited among others „UML@Work“ (dpunkt.verlag, 3rd ed, 2005), „UML@Classroom“ (Springer, 2015), and „Web Engineering“ (Wiley, 2006).

  • Orcid: 0000-0002-4758-9436
  • Keywords: Process Engineering, Data Engineering, Services Engineering, UML and XML, Business Process Management (BPM), Model Engineering, Workflow Management Systems (WFMS), Web Engineering, Object Orientation, Software Engineering
  • Roles: Head of Services, Full Professor

Publications

From Software Modeling to System Modeling - Transforming the Change
Gerti Kappel

View .bib

Handle: 20.500.12708/86306; Year: 2016; Issued On: 2016-01-01; Type: Presentation; Subtype: Presentation; Invited:

Keywords:
Astract: Model-driven software engineering has gained momentum in academia as well as in industry for improving the development of evolving software by providing appropriate abstraction mechanisms in terms of software models and transformations thereof. With the rise of cyber-physical systems in general, and cyber-physical production systems in particular, the interplay between several engineering disciplines, such as software engineering, mechanical engineering and electrical engineering, becomes a must. Thus, a shift from pure software models to system models has to take place to develop the full potential of model-driven engineering for the whole production domain. System Models are also essential to raise the level of flexibility of production systems even further in order to better react to changing requirements, since systems are no longer designed to be, but they have to be designed to evolve. In this talk, we will present ongoing work of applying and further developing model-driven techniques, such as consistency management and co-evolution support, for the production domain.

Kappel, G. (2016). From Software Modeling to System Modeling - Transforming the Change. FK Seminar Arbeit 4.0, Paderborn, Germany. http://hdl.handle.net/20.500.12708/86306
Cross-disciplinary Modeling - the Good, the Bad, and the Ugly
Gerti Kappel

View .bib

Handle: 20.500.12708/86307; Year: 2016; Issued On: 2016-01-01; Type: Presentation; Subtype: Presentation; Invited:

Keywords:
Astract: Model-driven software engineering has gained momentum in academia as well as in industry for improving the development of evolving software by providing appropriate abstraction mechanisms in terms of software models and transformations thereof. With the rise of cyber-physical systems in general, and cyber-physical production systems in particular, the interplay between several engineering disciplines, such as software engineering, mechanical engineering and electrical engineering, becomes a must. Thus, a shift from pure software models to cross-disciplinary models has to take place to develop the full potential of model-driven engineering for the whole production domain. Cross-disciplinary models are also essential to raise the level of flexibility of production systems in order to better react to changing requirements, since systems are no longer designed to be, but they have to be designed to evolve. In this talk, we will have a look at current practice of good, bad, and ugly cross-disciplinary modeling. We will point to ongoing work of (hopefully) improving this situation by applying and further developing model-driven techniques such as consistency management and co-evolution support for the production domain.

Kappel, G. (2016). Cross-disciplinary Modeling - the Good, the Bad, and the Ugly. Modellierung 2016, Karlsruhe, Germany. http://hdl.handle.net/20.500.12708/86307
Cross-disciplinary Modeling - the Good, the Bad, and the Ugly
Gerti Kappel

View .bib

Handle: 20.500.12708/86308; Year: 2016; Issued On: 2016-01-01; Type: Presentation; Subtype: Presentation;

Keywords:
Astract: Model-driven software engineering has gained momentum in academia as well as in industry for improving the development of evolving software by providing appropriate abstraction mechanisms in terms of software models and transformations thereof. With the rise of cyber-physical systems in general, and cyber-physical production systems in particular, the interplay between several engineering disciplines, such as software engineering, mechanical engineering and electrical engineering, becomes a must. Thus, a shift from pure software models to cross-disciplinary models has to take place to develop the full potential of model-driven engineering for the whole production domain. Cross-disciplinary models are also essential to raise the level of flexibility of production systems in order to better react to changing requirements, since systems are no longer designed to be, but they have to be designed to evolve. In this talk, we will have a look at current practice of cross-disciplinary modeling with special emphasis on good, bad, and ugly habits. We will point to ongoing work of (hopefully) improving this situation by applying and further developing model-driven techniques such as consistency management and co-evolution support for the production domain.

Kappel, G. (2016). Cross-disciplinary Modeling - the Good, the Bad, and the Ugly. IEEE QRS 2016 Software Quality, Reliability & Security, Vienna, Austria. http://hdl.handle.net/20.500.12708/86308
Cross-disciplinary Modeling - the Good, the Bad, and the Ugly
Gerti Kappel

View .bib

Handle: 20.500.12708/86309; Year: 2016; Issued On: 2016-01-01; Type: Presentation; Subtype: Presentation; Invited:

Keywords:
Astract: Model-driven software engineering has gained momentum in academia as well as in industry for improving the development of evolving software by providing appropriate abstraction mechanisms in terms of software models and transformations thereof. With the rise of cyber-physical systems in general, and cyber-physical production systems in particular, the interplay between several engineering disciplines, such as software engineering, mechanical engineering and electrical engineering, becomes a must. Thus, a shift from pure software models to cross-disciplinary models has to take place to develop the full potential of model-driven engineering for the whole production domain. Cross-disciplinary models are also essential to raise the level of flexibility of production systems in order to better react to changing requirements, since systems are no longer designed to be, but they have to be designed to evolve. In this talk, we will have a look at current practice of cross-disciplinary modeling with special emphasis on good, bad, and ugly habits. We will point to ongoing work of (hopefully) improving this situation by applying and further developing model-driven techniques such as consistency management and co-evolution support for the production domain.

Kappel, G. (2016). Cross-disciplinary Modeling - the Good, the Bad, and the Ugly. womENcourage 2016, Linz, Austria. http://hdl.handle.net/20.500.12708/86309
UML@Classroom: An Introduction to Object-Oriented Modeling
Martina SeidlMarion ScholzChristian HuemerGerti Kappel

View .bib

Handle: 20.500.12708/23877; DOI: 10.1007/978-3-319-12742-2; Year: 2015; Issued On: 2015-01-01; Type: Publication; Subtype: Book;

Keywords:
Astract: This textbook mainly addresses beginners and readers with a basic knowledge of object-oriented programming languages like Java or C#, but with little or no modeling or software engineering experience - thus reflecting the majority of students in introductory courses at universities. Using UML, it introduces basic modeling concepts in a highly precise manner, while refraining from the interpretation of rare special cases. After a brief explanation of why modeling is an indispensable part of software development, the authors introduce the individual diagram types of UML (the class and object diagram, the sequence diagram, the state machine diagram, the activity diagram, and the use case diagram), as well as their interrelationships, in a step-by-step manner. The topics covered include not only the syntax and the semantics of the individual language elements, but also pragmatic aspects, i.e., how to use them wisely at various stages in the software development process. To this end, the work is complemented with examples that were carefully selected for their educational and illustrative value. Overall, the book provides a solid foundation and deeper understanding of the most important object-oriented modeling concepts and their application in software development. An additional website (www.uml.ac.at) offers a complete set of slides to aid in teaching the contents of the book, exercises and further e-learning material.

Seidl, M., Scholz, M., Huemer, C., & Kappel, G. (2015). UML@Classroom: An Introduction to Object-Oriented Modeling. In Undergraduate Topics in Computer Science. Springer. https://doi.org/10.1007/978-3-319-12742-2


Teaching

Project in Computer Science 1
Semester: 2026S; Nr: 194.145; Type: PR; Hours: 4.0; Language: if required in English; View on TISS

Advanced Model Engineering
Semester: 2026S; Nr: 194.195; Type: VU; Hours: 4.0; Language: English; View on TISS

Seminar for Master Students in Business Informatics
Semester: 2025W; Nr: 180.779; Type: SE; Hours: 1.0; Language: English; View on TISS

Research Seminar
Semester: 2025W; Nr: 188.446; Type: SE; Hours: 2.0; Language: if required in English; View on TISS

Literature Seminar for PhD Students
Semester: 2025W; Nr: 188.512; Type: SE; Hours: 2.0; Language: German; View on TISS

Bachelor Thesis for Informatics and Business Informatics
Semester: 2025W; Nr: 188.926; Type: PR; Hours: 5.0; Language: if required in English; View on TISS

Scientific Research and Writing
Semester: 2025W; Nr: 193.052; Type: SE; Hours: 2.0; Language: German; View on TISS

Project in Computer Science 1
Semester: 2025W; Nr: 194.145; Type: PR; Hours: 4.0; Language: if required in English; View on TISS

Sustainability in Computer Science
Semester: 2025W; Nr: 194.155; Type: VU; Hours: 2.0; Language: English; View on TISS

Seminar in Computer Science (Model Engineering)
Semester: 2025W; Nr: 194.198; Type: SE; Hours: 2.0; Language: German; View on TISS


Projects

Digitale Kompetenzen @ Parlament
Name: DKP; Title: Digitale Kompetenzen @ Parlament; Begins On: 2021-04-01; Ends On: 2021-09-30; Context: Parlamentsdirektion; View Project Website

IFC-Roundtrip und Plangrafiken
Name: IFC-Roundtrip und Plangrafiken; Title: IFC-Roundtrip und Plangrafiken; Begins On: 2019-01-01; Ends On: 2020-06-30; Context: tbw solutions ZT GesmbH; View Project Website

Vienna Informatics Living Lab
Name: Vienna Informatics Living Lab; Title: Vienna Informatics Living Lab; Begins On: 2018-08-01; Ends On: 2019-07-31; Context: Vienna Business Agency (WAW); View Project Website

Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS)
Name: MPM4CPS; Title: Multi-Paradigm Modelling for Cyber-Physical Systems (MPM4CPS); Begins On: 2014-10-01; Ends On: 2019-05-31; Context: European Cooperation in Science and Technology (COST); View Project Website

COSIMO: Collaborative Configuration Systems Integration and Modeling
Name: COSIMO; Title: COSIMO: Collaborative Configuration Systems Integration and Modeling; Begins On: 2014-01-01; Ends On: 2017-05-30; Context: Vienna Business Agency (WAW); View Project Website

ARTIST: Advanced software-based seRvice provisioning and migraTIon of legacy Software
Name: ARTIST; Title: ARTIST: Advanced software-based seRvice provisioning and migraTIon of legacy Software; Begins On: 2012-10-01; Ends On: 2015-09-30; Context: European Commission; View Project Website

DARWIN - Model-driven Development and Evolution of Semantic Infrastructures
Name: DARWIN; Title: DARWIN - Model-driven Development and Evolution of Semantic Infrastructures; Begins On: 2012-03-01; Ends On: 2015-02-28; Context: Austrian Research Promotion Agency (FFG); View Project Website

TROPIC: A Framework for Model Transformations on Petri Nets in Color
Name: TROPIC; Title: TROPIC: A Framework for Model Transformations on Petri Nets in Color; Begins On: 2009-03-01; Ends On: 2012-08-31; Context: Austrian Science Fund (FWF); View Project Website

AMOR: Adaptable Model Versioning
Name: AMOR; Title: AMOR: Adaptable Model Versioning; Begins On: 2009-02-01; Ends On: 2011-09-30; Context: SparxSystems Software GmbH; View Project Website

Development of a WEB-based database for the global administration of CAN-Data
Name: Rosenbauer-DB; Title: Development of a WEB-based database for the global administration of CAN-Data; Begins On: 2008-09-01; Ends On: 2009-04-30; Context: Rosenbauer; View Project Website

Model-Driven Web Engineering net
Name: MDWEnet; Title: Model-Driven Web Engineering net; Begins On: 2006-12-01; Ends On: 2010-12-31; Context: Johannes Kepler Universität Linz; View Project Website

TRACK and TRADE: Creating a Data Mart for Floating Car Data
Name: TRACK™ Title: TRACK and TRADE: Creating a Data Mart for Floating Car Data; Begins On: 2006-10-01; Ends On: 2008-09-30; Context: European Commission; View Project Website

ModelCVS: A Semantic Infrastructure for Model-based Tool Integration
Name: ModelCVS; Title: ModelCVS: A Semantic Infrastructure for Model-based Tool Integration; Begins On: 2006-01-01; Ends On: 2007-12-31; Context: ARIKAN Productivity Group GesmbH; View Project Website

ZELESSA: An Enabler for Real-time Business Intelligence
Name: ZELESSA; Title: ZELESSA: An Enabler for Real-time Business Intelligence; Begins On: 2006-01-01; Ends On: 2007-06-30; Context: Österr. Nationalbibliothek; View Project Website

Admina.at goes Austria
Name: Admina.at; Title: Admina.at goes Austria; Begins On: 2005-12-01; Ends On: 2007-09-30; Context: Federal Ministry of Science and Research (bm:wf); View Project Website

Women's Postgraduate College for Internet Technologies
Name: WIT; Title: Women's Postgraduate College for Internet Technologies; Begins On: 2003-01-01; Ends On: 2007-12-31; Context: European Commission; View Project Website

Team

Business Informatics Group, TU Wien

Head


Team member

Dominik Bork

Associate Prof. Dipl.-Wirtsch.Inf.Univ.
Dr.rer.pol.

Professors


Team member

Christian Huemer

Ao.Univ.Prof. Mag.rer.soc.oec.
Dr.rer.soc.oec.

Team member

Dominik Bork

Associate Prof. Dipl.-Wirtsch.Inf.Univ.
Dr.rer.pol.

Team member

Gerti Kappel

O.Univ.Prof.in Dipl.-Ing.in
Mag.a Dr.in techn.

Team member

Henderik Proper

Univ.Prof. PhD

Visiting Scientists


Team member

Christiane Floyd

Hon.Prof.in Dr.in phil.

Team member

Johanna Barzen

Dr. phil.

External Researchers



Researchers


Team member

Aleksandar Gavric

Univ.Ass. M.Eng. M.Sc. B.Eng.


Team member

Marco Huymajer

Senior Lecturer Dipl.-Ing. BSc

Team member

Marianne Schnellmann

Univ.Ass. MSc

Team member

Marion Murzek

Senior Lecturer Mag.a rer.soc.oec.
Dr.in rer.soc.oec.

Team member

Marion Scholz

Senior Lecturer Dipl.-Ing.in
Mag.a rer.soc.oec.

Team member

Miki Zehetner

Univ.Ass. DI Bakk.rer.soc.oec. MSc

Team member

Philipp-Lorenz Glaser

Univ.Ass. Dipl.-Ing. BSc

Team member

Syed Juned Ali

Univ.Ass. BSc MSc

Team member

Zhuoxun Zheng

Projektass. PhD