Code Quality Defects Across Introductory Programming Topics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127006" target="_blank" >RIV/00216224:14330/22:00127006 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1145/3478431.3499415" target="_blank" >https://doi.org/10.1145/3478431.3499415</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3478431.3499415" target="_blank" >10.1145/3478431.3499415</a>
Alternative languages
Result language
angličtina
Original language name
Code Quality Defects Across Introductory Programming Topics
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 1
ISBN
9781450390705
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
941-947
Publisher name
Association for Computing Machinery
Place of publication
New York, NY, USA
Event location
Providence, RI, USA
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000884263800136