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@inproceedings{2227159, author = {Effenberger, Tomáš and Pelánek, Radek}, address = {New York, NY, USA}, booktitle = {Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1}, doi = {http://dx.doi.org/10.1145/3478431.3499415}, editor = {Larry Merkle, Maureen Doyle}, keywords = {introductory programming; python; code quality; feedback}, howpublished = {elektronická verze "online"}, language = {eng}, location = {New York, NY, USA}, isbn = {978-1-4503-9070-5}, pages = {941-947}, publisher = {Association for Computing Machinery}, title = {Code Quality Defects Across Introductory Programming Topics}, url = {https://doi.org/10.1145/3478431.3499415}, year = {2022} }
TY - JOUR ID - 2227159 AU - Effenberger, Tomáš - Pelánek, Radek PY - 2022 TI - Code Quality Defects Across Introductory Programming Topics PB - Association for Computing Machinery CY - New York, NY, USA SN - 9781450390705 KW - introductory programming KW - python KW - code quality KW - feedback UR - https://doi.org/10.1145/3478431.3499415 N2 - Research on feedback in introductory programming focuses mostly on incomplete and incorrect programs. However, most of the functionally correct programs also contain defects that call for feedback. We analyzed 114,000 solutions to 161 short coding problems in Python and compiled a catalog of 32 defects in code quality. We found that most correct solutions contain some defects and that students do not stop making them if they do not receive targeted feedback. The catalog of defects, together with their prevalence across common topics like expressions, loops, and lists, informs educators which defects to address in which lectures and guides the development of exercises on code quality. Additionally, we describe defect detectors, which can be used to generate valuable feedback to students automatically. ER -
EFFENBERGER, Tomáš and Radek PELÁNEK. Code Quality Defects Across Introductory Programming Topics. Online. In Larry Merkle, Maureen Doyle. \textit{Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1}. New York, NY, USA: Association for Computing Machinery, 2022, p.~941-947. ISBN~978-1-4503-9070-5. Available from: https://dx.doi.org/10.1145/3478431.3499415.
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