Bachelorarbeit BCLR-2023-66

Stamm, Manuel: Enhancement and assessment of the PlanX toolbox for constructing AI planning systems.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Bachelorarbeit Nr. 66 (2023).
53 Seiten, englisch.

The PlanX toolbox provides different planning functionalities to compose an advanced planning system for solving planning problems. The research field about planning systems is lacking in flexibility, portability and more to provide users an optimal experience, without the need of software engineering knowledge or AI planning knowledge. The toolbox provides services with good interoperability and the option to change the workflow of the created planning system as desired. One aspect of this work is to demonstrate the usability of the PlanX toolbox. For this reason, we conduct a case study with a simplified real-world example, as well as a user study. The usability is evaluated under different aspects and with different user feedback. The usability is all in all good with room for further improvement like better documentation. Furthermore, the architecture is an important part of this work. The modularity and lose coupling is lacking in the current toolbox. We propose a new service to refine the architecture. The new system monitoring service is a modular service with an encapsulated functionality, which is split up from an existing service. This results in a better overall architecture that can be further optimised in the future.

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Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
BetreuerGeorgievski, Dr. Ilche
Eingabedatum23. Februar 2024
   Publ. Institut   Publ. Informatik