Static Analysis Model For Assessing Source Codes With TFIDF
Ricardo Lemos de Souza, Fabiana Zaffalon, Silvia Da Silva Botelho · 2021 IEEE Frontiers in Education Conference (FIE) · 2021
This Full Paper in the category Research-to-Practice presents a proposed model for assessing source codes through static analysis, an applied experiment and results. The presence of computation is constantly growing in the contemporaneous world, and in that way, the demand for professionals capable to develop and maintain software is also in constant growth. The present work aims to present and discuss the results obtained by applying the proposed model based in TFIDF to a dataset. Results showed that by enabling the comparison of different skills present on each source code, the proposed model offers an asset for teachers to identify potential weaknesses on a student's set of computer programming skills, and therefore be able to work on solutions for their educational development.