Automatically mining similar warnings and warning combinations
Dalin Zhang, Dahai Jin, Ying Xing, Hailong Zhang, Yunzhan Gong · 2013
Static analysis tools usually report many warnings. To help with the inspection tasks, we present an approach that uses data mining techniques to work on the results of static analysis of source code to classify similar warnings and warning combinations, and makes the final warning report easier to handle. The underlying algorithms were implemented inside our static analysis tool and used successfully to prioritizing static analysis warnings in large, critical embedded applications.