Boosting spectrum-based fault localization using PageRank
Mengshi Zhang, Xia Li, Lingming Zhang, Sarfraz Khurshid · 2017
Manual debugging is notoriously tedious and time consuming. Therefore, various automated fault localization techniques have been proposed to help with manual debugging. Among the existing fault localization techniques, spectrum-based fault localization (SBFL) is one of the most widely studied techniques due to being lightweight. A focus of existing SBFL techniques is to consider how to differentiate program source code entities (i.e., one dimension in program spectra); indeed, this focus is aligned with the ultimate goal of finding the faulty lines of code. Our key insight is to enhance existing SBFL techniques by additionally considering how to differentiate tests (i.e., the other dimension in program spectra), which, to the best of our knowledge, has not been studied in prior work.