Application of Constructive Modeling and Process Mining Approaches to the Study of Source Code Development in Software Engineering Courses
Abstract
We present an approach of constructing a source code history for a modern code review. Practically, it is supposed to be used in programming training, especially within initial stages. The developed constructor uses constructive-synthesizing modeling tools to classify a source code history by fine-grained changes and to construct an event log file aimed to provide information on students’ coding process. Current research applies Process Mining techniques to the software engineering domain to identify software engineering skills. By better understanding of the way students design programs, we will help novices learn programming. This research provides an innovative method of using code and development process review in teaching programming skills and is aimed to encourage using code review and monitoring coding practice in educational purposes. The standard method of evaluation takes into consideration only a final result, which doesn’t meet modern requirements of teaching programming.
Keywords
source code history, constructive-synthesizing modeling, process mining
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
V. Shynkarenko and O. Zhevaho, "Application of Constructive Modeling and Process Mining Approaches to the Study of Source Code Development in Software Engineering Courses," in Journal of Communications Software and Systems, vol. 17, no. 4, pp. 342-349, December 2021, doi: 10.24138/jcomss-2021-0046
@article{shynkarenko2021applicationconstructive,
author = {Viktor Shynkarenko and Oleksandr Zhevaho},
title = {Application of Constructive Modeling and Process Mining Approaches to the Study of Source Code Development in Software Engineering Courses},
journal = {Journal of Communications Software and Systems},
month = {12},
year = {2021},
volume = {17},
number = {4},
pages = {342--349},
doi = {10.24138/jcomss-2021-0046},
url = {https://doi.org/10.24138/jcomss-2021-0046}
}