Exploring the Role of Automation in Duplicate Bug Report Detection: An Industrial Case Study
Malte Götharsson, Karl Stahre, Gregory Gay, Francisco Gomes de Oliveira Neto · 2024
Duplicate bug reports can increase technical debt and tester work-load in long-running software projects. Many automated techniques have been proposed to detect potential duplicate reports. However, such techniques have not seen widespread industrial adoption. Our objective in this study is to better understand how automated techniques could effectively be employed within a tester's duplicate detection workflow. We are particularly interested in exploring the potential of a human-in-the-loop scenario where tools and humans work together to make duplicate determinations.