Software Quality Course Dataset (EASE 2022)

Dataset about the evaluation of source code quality improvement during a Software Quality course. Content of the dataset:<br><br>* <b>Task Description</b>;* <b>Questionnaire Templates</b>;* <b>Questionnaire data </b>(initial and final);* <b>Manual evaluation</b> data (quality of source code);<br>*<b> Automated evaluation</b> data (static code analysis with SonarQube);* Anonymized <b>source code </b>of the submissions;<br>More details in the paper: Stanislav Chren, Martin Macak, Bruno Rossi, and Barbora Buhnova (2022). Evaluating Code Improvements in Software Quality Course Projects, in Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE). <br>