(DE) Die Professur Delfmann bietet Abschlussarbeiten im technischen und operativen Bereich des Business Process Management und der Kommunikationssysteme an. Bitte beachten Sie: Auf Grund der formalen und technischen Ausrichtung der Abschlussarbeiten sind sehr gute Kenntnisse im Bereich Algorithmen und Datenstrukturen, Modellierung und Programmierung, Graphentheorie sowie anderer verwandter Disziplinen der Informatik zwingend erforderlich.

(EN) The FG Delfmann offers theses in the technical and operative area of Business Process Management and of communication systems. Please note: Due to the formal and technical scope of the topics, excellent (sehr gut) knowledge in the areas of algorithms and data-structures, modeling and programming, graph theorie as well as other disciplines related to computer science are a mandatory requirement.


(DE) Wenn Sie sich für ein Thema interessieren, melden Sie sich bitte per E-Mail unter fg-bks@uni-koblenz.de mit einem Motivationsschreiben sowie Ihrer Notenübersicht. Wir werden uns dann bei Ihnen melden und das weitere Vorgehen mit Ihnen klären.

(EN) If one of the topics suits your interests, please contact us via e-mail (fg-bks@uni-koblenz.de) and send us a motivational letter and your transcript of records. We will then get in touch with you to clarify the next steps.



Nachdem ein Thema in Absprache mit den Betreuern gefunden wurde, umreißt der Studierende in einem Exposé das gewählte Thema und die Vorgehensweise der Abschlussarbeit. Dabei soll auf die Fragestellung, die Zielesetzung, die anzuwendende Methodik sowie den Aufbau der Arbeit eingegangen werden. Ein weiterer Punkt ist ein Zeitplan, der die Schritte der Abschlussarbeit und deren voraussichtliche zeitliche Umsetzung beinhaltet. Die Abgabe findet digital statt. Wird das Exposé akzeptiert, ist der Studierende angenommen und kann mit der Arbeit an der Abschlussarbeit beginnen. Ein Vorlage für ein Exposé finden Sie in der folgenden Sektion.

(EN) After the student and the supervisors agreed on a topic, the student outlines the topic and the procedure of the thesis in an exposé. This should include the problem, the goal, the applied methodology, and the structure of the thesis. A time line with all steps of the thesis and the expected time of execution should also be part of the exposé. The submission will be done digitally. Once the exposé is accepted, the student is accepted and can start working on the thesis. A template can be found in the following section.



(DE) Die Vorlage der Forschungsgruppe Betriebliche Kommunikationssysteme finden Sie hier:

(EN) You can find our templates below:



  • Mining (FCL-)Rules from Text (Implementation) [BSc/MSc]
    Having business rules stored in logical form poses many advantages for companies. However, there are often experts missing to initially create such logical expressions. This thesis should aim at implementing a miner, capable of parsing some form of textual rules into a logic program rule base. 
    Material: Bajwa, I. S., Lee, M. G., & Bordbar, B. (2011, March). SBVR Business Rules Generation from Natural Language Specification. In AAAI spring symposium: AI for business agility (pp. 2-8).
  • Survey of quantitative measures of compliance in process models [BSc/MSc]
    Detecting compliance of business processes is a central field of interest. Here, many approaches have been proposed towards finding the presence of errors in process models (e.g. the process as it is modelled violates a law). There has been recent attention towards analyzing the detected errors and comparing them. The intuition behind this is, that different errors may have a different "degree" of violating compliance, i.e. some errors can be said to be "worse/more significant" than others. This thesis should be aimed at an extensive review of proposed quantitative measures, capable of quantitatively assessing the degree/severity of compliance violations.
  • Survey of error-detection capabilities in Business Rule Tools [BSc/MSc]
    Business Rules have received increased attention to ensure that company processes are in line with legal regulations. To this aim, experts can transform legal regulations into machine-readable business rules, and these rules can then be applied for model checking etc.. There are already many standards and tools to model business rules. However, recent research shows that modelers commonly make mistakes during collaborative modelling, e.g., by entering duplicate rules, or creating contradictory rules. Therefore, modelling tools should ideally be able to find these errors. Unfortunately, this does not seem to be the case, and the error-detection capabilities in professional tools seems to be limited. This thesis should be aimed at an extensive review of business rule tools and should analyze which types of errors can be detected with existing tools (i.e., also show which types of errors CANNOT be found by the tools)
  • Diverse Themen zur Erweiterung eines Modelierungstools in C# [BSc/MSc]
    Weiterentwicklung eines bestehenden Modelierungstools. Je nach Absprache mit Herrn Delfmann.