Year: 2025
Type: conference-paper
Abstract: As software bug fixing incurs high costs and complexity.There is a need to rank a large number of bug types to help developers prioritize bug fixing.Program analysis tools such as Findbug provide an in-depth analysis of software code and reports on 423 potential bugs in code.However, these bugs are not prioritized, and the developers need to focus their effort on the most vital ones.Therefore, we propose to prioritize and rank Findbug bugs by mining Stack Overflow (SO).SO is a question-answer platform specialized for software developers and engineers.This platform gives solutions to recurring problems.Collaborators provide solutions to fix bugs.To prioritize programming bugs, we propose a ranking function, BM25, for this purpose.The results of the rankings show that not all programming errors are of interest to software developers.Only 23% of the programming bugs matched with bug triaging and repairing posts.Some bugs did not match any posts.Furthermore, 80% of posts asked about 100 programming bugs only.the data suggest that the posts are usually associated with a single language, while posts requiring two or more languages were rarely asked.
Author: Raed Shatnawi Shatnawi
Institution: Jordan University of Science and Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414420487