Automated Grey Literature Extraction Tool for Software Engineering
Analysis
This paper introduces GLiSE, a tool designed to automate the extraction of grey literature relevant to software engineering research. The tool addresses the challenges of heterogeneous sources and formats, aiming to improve reproducibility and facilitate large-scale synthesis. The paper's significance lies in its potential to streamline the process of gathering and analyzing valuable information often missed by traditional academic venues, thus enriching software engineering research.
Key Takeaways
- •GLiSE automates grey literature extraction for software engineering.
- •It uses prompt-driven queries and semantic classifiers.
- •The tool is designed for reproducibility.
- •The paper provides a curated dataset and usability study.
“GLiSE is a prompt-driven tool that turns a research topic prompt into platform-specific queries, gathers results from common software-engineering web sources (GitHub, Stack Overflow) and Google Search, and uses embedding-based semantic classifiers to filter and rank results according to their relevance.”