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Automatic evaluation of fault-tree-based student exercises

Budde, N. (2024) Automatic evaluation of fault-tree-based student exercises.

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Abstract:Fault tree analysis is a crucial concept in reliability engineering, and it plays a role in the "Software Testing and Risk Assessment" (STAR) course at the University of Twente. To enhance the teaching of fault tree analysis, students are tasked with creating fault trees based on given system descriptions. However, manually evaluating these exercises is tedious and can be challenging. This thesis aims to explore and analyze various approaches to automate the evaluation of students' fault trees by comparing them to sample solutions. The objective is to provide means of the manual assessment of fault tree exercises, thereby providing students with more opportunities for practice and feedback. This thesis focuses on three algorithmic approaches: Boolean equation comparison, edit distance comparison, and pattern matching comparison.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
Link to this item:https://purl.utwente.nl/essays/103236
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