Data Documentation for "An empirical evaluation of Lex/Yacc and ANTLR parser generation tools"    
 
General Information: This data contains all the raw data (CSV format) used in the research article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Name of dataset: Data from the article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Name of data files in the data set:
raw-data.zip

Dataset language: English

Date the data set was last modified: 25 October 2021

Funder: This work has been partially funded by the Spanish Department of Science, Innovation and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the Banco Santander, Spain through its support of the Campus of International Excellence.

How to cite data: Data from the article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Methodology for data collection: Detailed in "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Data collector(s): Francisco Ortin Soler, ortin@uniovi.es

Date of data collection: 25 October 2021

Person to contact with questions: Francisco Ortin Soler, ortin@uniovi.es, https://reflection.uniovi.es

Data entry: 15 January 2024

Software (including version #) used to prepare data set: Detailed in "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Data processing that was performed: Detailed in "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

Variables: Detailed in "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326"

File Overview:
raw-data.zip: raw data (CSV format) used in the article. The compressed file has the following data:
- autonomous-hours-*.csv: Number of autonomous hours it took the students to finish the lab (Table 6 of the article).
- completion-binary-*.csv: Percentage of students who completed different activities related to lexer and parser implementation (Table 5 of the article).
- lab-marks.csv, final-marks.csv: Lab marks and final grades (Figure 4 of the article).
- percentage-work-completed-*.csv: Percentage of the work completed at the lab (Table 6 of the article).
- questionnaire-*.csv: Answers to the questionnaire in Table 4 (Figure 1 of article).