Qualitative Content Analysis of Programming Errors

@inproceedings{Shah2017QualitativeCA,
  title={Qualitative Content Analysis of Programming Errors},
  author={Philipp Shah and Marc Berges and Peter Hubwieser},
  booktitle={ICIET '17},
  year={2017}
}
In computer science education, the analysis of source code with errors is of interest as programming errors may give a hint to misconceptions. The analysis of misconceptions can help teachers to improve their exercises and lessons. The semantic analysis of texts or video sequences could lead to different, subjective interpretation. This problem also effects source code errors, which could contain semantic errors. In different projects, we were confronted with a lot of incorrect source codes… CONTINUE READING
Highly Influential
This paper has highly influenced 40 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 384 extracted citations

Towards an XBRL-enabled Corporate Governance Reporting Taxonomy

Dirk Beerbaum
2015
View 6 Excerpts
Highly Influenced

Commercial Visual Analytics Systems-Advances in the Big Data Analytics Field.

IEEE transactions on visualization and computer graphics • 2018
View 4 Excerpts
Highly Influenced

An Interview Study on Sustainability Concerns in Software Development Projects

2017 43rd Euromicro Conference on Software Engineering and Advanced Applications (SEAA) • 2017
View 4 Excerpts
Highly Influenced

Politicizing the stories of Swedish sustainable urban development

Toni Adscheid
2017
View 8 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-4 of 4 references

Qualitative content analysis: theoretical foundation, basic procedures and software solution

P. Mayring
2014
View 8 Excerpts
Highly Influenced

A long-term investigation of the comprehension of OOP concepts by novices

Computer Science Education • 2005
View 8 Excerpts
Highly Influenced

Avoiding object misconceptions

View 5 Excerpts
Highly Influenced

Thinking processes used by high-performing students in a computer programming task

M. Havenga, Villiers, R. de, E. Mentz
TD : The Journal for Transdisciplinary Research in Southern Africa • 2011
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…