2026-07-19T20:18:11Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:16618 2024-03-06T10:31:46Z ddc:004 open_access

Program Comprehension and Quality Experiments in Programming Education Medvidova, Maria Porubän, Jaroslav Program comprehension static code analysis empirical software engineering code as a story students The paper deals with the design of a new experimental method designed to measure the understanding of the code of subjects who do not know any programming language in connection with the implementation of empirical and analytical study. The aim of this work is the analysis of students' knowledge before and after the course Basics of Algorithmization and Programming at Technical University in Kosice, Slovakia, and the subsequent static analysis of their codes from one of the assignments. The theoretical part provides a look at the various models and ways to measure program comprehension, code quality metrics, examines the most common analysis tools, suggests recommendations for improving comprehensibility, and provides a closer look at program comprehension issues in the teaching context. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Maria Medvidova and Jaroslav Porubän 2022 Is Part Of OASIcs, Volume 102, Third International Computer Programming Education Conference (ICPEC 2022) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ICPEC.2022.14 urn:nbn:de:0030-drops-166180 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2022.14 eng https://creativecommons.org/licenses/by/4.0/legalcode