Anonymous Replication Package for Agile Software Engineering Research

This repository contains the anonymized replication package accompanying the manuscript submitted for peer review. The package provides the quantitative dataset, supporting reports, and calculation scripts required to reproduce the analyses presented in the manuscript. The repository is organized as follows: reports/: contains the first and the final versions of the estimation feedback reports generated during the study. scripts/: contains the Google Apps Script implementations used during data processing. Quantitative_Data.xlsx: contains the anonymized quantitative dataset used in the study. The original dataset was maintained in Google Sheets but was converted to Microsoft Excel to preserve anonymity, since Google Sheets does not provide an anonymous sharing mechanism suitable for double-blind peer review. Where spreadsheet conversion affected chart formatting, the original charts are preserved as embedded images in their corresponding worksheet locations, while compatible charts remain fully functional. README.md: provides instructions and additional information about the replication package. The spreadsheet preserves all quantitative data used in the analyses. Columns containing derived values (e.g., Accuracy Classification, Best Vote, and Percentage Deviation (PD) (Cycle 2)) contain the same results obtained in the original Google Sheets environment. These values were copied directly to preserve reproducibility. The corresponding calculation scripts are provided separately in the scripts/ directory, and each derived column references its respective script in the column header. To preserve the double-blind review process, all identifying information has been removed or anonymized. This includes project-specific information, task titles, hyperlinks, and other potentially identifying metadata. The anonymization process does not affect the quantitative analyses or the results reported in the manuscript. The replication package was prepared to support transparency, reproducibility, and independent verification of the analyses presented in the manuscript.