Paper accepted into Q1 Journal

Feb 15, 2022

A paper titled “A Survey of Challenges in Spectrum-Based Software Fault Localization”, authored by Árpád Beszédes and Qusay Idrees Sarhan has been accepted into the Q1 (top 25%) ranked journal IEEE Access.

The authors have created a survey that examines SBFL (Spectrum Based Fault Localization) techniques in order to create a comprehensive summary of its possible faults and challenges. The hope is that by collecting, discussing, and finding possible solutions to these issues, SBFL techniques could become more widespread in the industry, thereby making software debugging less expensive and tedious.

The paper can be read on IEEE’s website

Page last modified: February 15, 2022