Graph semantic similarity-based automatic assessment for programming exercises
Abstract This paper proposes an algorithm for the automatic assessment of programming exercises. The algorithm assigns assessment scores based on the program dependency graph structure and the program semantic similarity, but does not actually need to run the student’s program. By calculating the no...
Saved in:
| Main Authors: | Chengguan Xiang, Ying Wang, Qiyun Zhou, Zhen Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-61219-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Semantic ECG hash similarity graph
by: Yixian Fang, et al.
Published: (2025-07-01) -
Equivalence of the schemes of programs based on the algebraic approach to setting the semantics of programming languages
by: Y. P. Korablin
Published: (2022-03-01) -
Controlled Gene-Accumulation Programming
by: Najla Al-Saati, et al.
Published: (2009-03-01) -
A tool for automatic parallelization of affine programs for systems with shared and distributed memory
by: Sh. G. Magomedov, et al.
Published: (2019-10-01) -
SPRD:fast application repackaging detection approach in Android based on application’s UI and program dependency graph
by: Run WANG, et al.
Published: (2018-03-01)