Paper accepted into Q1 Journal

June 1, 2022

A new journal paper titled Using Contextual Knowledge in Interactive Fault Localization”, written by Ferenc Horváth, Árpád Beszédes, Béla Vancsics, Gergő Balogh, László Vidács, and Tibor Gyimóthy (Department of Software Engineering) was accepted into the influential Q1 journal Empirical Software Engineering.

The article aims to improve on Spectrum Based Fault Localization with the help of contextual information. The new approach, called iFL extends traditional Spectrum-Based Fault Localization by providing the ability for the developer to interact with the fault localization algorithm, based on which the suspiciousness scores are adjusted.

Page last modified: June 1, 2022