Análisis comparativo entre calificadores automáticos aplicados a programación: análisis comparativo entre calificadores automáticos basados en análisis de código, aplicados a programación.

Abstract

The process of grading a programming assignment in very large courses has been a challenge for many years. Immediate feedback to students on their programming assignments helps them improve their work and enhance learning. However, college professors are often unaware of the existence of tools that can help improve the process of grading programming assignments and at the same time help improve student learning in the class. This work shows a systematic review that will allow us to search for and analyze existing tools that help in the grading of programming assignments and that such grading is based on source code analysis. The first chapter describes the theoretical foundation on which the work is based it shows a bibliographic review about the systematic review, it reviews what a systematic review is, how it is performed, it talks about the search methods, as well as the existing databases for the search of documents in the area of interest. In addition, the objectives and desired scope of the present work are presented. The second chapter begins with the concept and steps to be followed for the execution of the chosen methodology. Here the steps followed to achieve a comparative analysis between different automatic raters are detailed. Finally, chapter 3 shows the results obtained: a comparative analysis with the most relevant characteristics as well as the advantages and disadvantages of the tools dedicated to the qualification based on source code analysis. It also contains the conclusions and recommendations for the present work.