Feature Request Survey

This repository accompanies the paper "Feature Request Analysis and Processing: Tasks, Techniques, and Trends". It contains scripts and artifacts used to collect, process, and analyze feature request–related data.

Structure

• Snowballing/: Helper scripts for building the literature dataset via Semantic Scholar.
  • getDoi.py: Given ForSnowballing.xlsx (with at least Title and Publication Year columns), queries the Semantic Scholar API and produces papers_with_ids.xlsx with DOI and Semantic Scholar PaperId.
  • snowballing.py: Uses papers_with_ids.xlsx as seed papers and performs one round of forward and backward snowballing, outputting snowball_output.xlsx.
• Figures/: Plotting scripts used to generate figures (e.g., distributions by year/topic/venue/source and the bubble figure).

These materials are intended to support replication of the study and to illustrate the data collection workflow, rather than to serve as a polished, general-purpose toolkit.