Efficient Structural Analysis of Source Code for Large Scale Applications in Education
In: Proceedings of the IEEE Global Engineering Education Conference (EDUCON 2022) : Digital Transformation for Sustainable Engineering Education / Kallel, Ilhem; Kammoun, Habib M.; Hsairi, Lobna (Eds.). - IEEE Global Engineering Education Conference (EDUCON 2022) : Digital Transformation for Sustainable Engineering Education, 28.-31.03.2022, Tunis - New York: IEEE Computer Society, 2022, pp. 24 - 30
2022book article/chapter in Proceedings
Mechanical EngineeringComputer ScienceFaculty of Business Administration and Economics » Computer Science » Specification of Software SystemsScientific institutes » paluno - The Ruhr Institute for Software Technology
Title in English:
Efficient Structural Analysis of Source Code for Large Scale Applications in Education
Author:
Koegl, Adrian
- GND
- 173940544
- LSF ID
- 48192
- ORCID
- 0000-0001-8866-6971
- Other
- connected with university
- LSF ID
- 5091
- ORCID
- 0009-0004-2383-6764
- Other
- connected with university
Scopus ID
Language of text:
English
Keyword, Topic:
Automated assessment systems ; graph database ; introductory lectures ; large-scale education ; learning analytics ; programming assignments ; source code representation ; structural code analysis