Empirical analysis of defect in R Markdown
Reference persons MARCO TORCHIANO
Research Groups DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG
Description R Markdown files are widely adopted to iteratively develop data analysis and visualization workflows.
The reliability of the results and the capability of reusing the analysis is determined by the quality of such files.
The goal of this thesis is to analyze Rmd files present in public repositories to identify and classify the existing defects
Required skills R package, R Studio IDE
Deadline 18/12/2023 PROPONI LA TUA CANDIDATURA