Data Set Generated by the Fuzzy Model Constructed to Describe Execution Tracing Quality

The uploaded data set was generated by the fuzzy model published in T. Galli, F. Chiclana, and F. Siewe. Genetic algorithm-based fuzzy inference system for describing execution tracing quality. Mathematics, 9(21), 2021. ISSN 2227-7390. doi: https://doi.org/10.3390/ma th9212822. URL https://www.mdpi.com/2571-5577/4/1/20. The goal of the data generation is to make the published model available in the form of data points in a 5D space, which facilitates the construction of simpler models to approximate the original model. The names of the columns in the .csv file constitute the quality properties of execution tracing: (1) accuracy, (2) legibility, (3) implementation, and (4) security, while column (5) contains execution tracing quality derived from the fuzzy model. The indices in brackets show the column indices in the .csv file. All variables lie in the continuous range [0, 100], where 100 means the best possible quality value and 0 the complete lack of quality or the lack of the given quality property. While generating the data, the inputs were increased by a step-size 5 and the model's output was collected, i.e. 4 inputs, from including 0 to 100 with 21 data points (21^4 = 194481).