Supplementary material to the paper:"The Trade-off Between Data Volume and Quality in Predicting User Satisfaction in Software Projects"accepted to Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2024 The contents of this material is as follows: README -> a file with this information additional_figures.pdf -> a file containing additional figures for which there was no space in the manuscript general.preprocessing.R -> R script for general data preprocessing dq.on.effort.prediction.preparation.R -> R script for detailed data preparation dq.on.effort.prediction.R -> R script for training models and running predictions additional.functions.R -> additional functions used in other scripts res.rds -> raw prediction results for all models, all data variants in all data splits, in R's "rds" format. To open this file run readRDS("res.rds").