Exception-Driven Fault Localization for Automated Program Repair

01/03/2022
by   Davide Ginelli, et al.
0

Automated Program Repair (APR) techniques typically exploit spectrum-based fault localization (SBFL) to identify the program locations that should be patched, making the effectiveness of APR techniques dependent on the effectiveness of fault localization. Indeed, results show that SBFL often does not localize faults accurately, hindering the effectiveness of APR. In this paper, we propose EXCEPT, a technique that addresses the localization problem by focusing on the semantics of failures rather than on the correlation between the executed statements and the failed tests, as SBFL does. We focus on failures due to exceptions and we exploit their type and source to localize and guess the faults. Experiments with 43 exception-raising faults from the Defects4J benchmark show that EXCEPT can perform better than Ochiai and ssFix.

READ FULL TEXT
06/05/2019

Restore: Retrospective Fault Localization Enhancing Automated Program Repair

Fault localization is a crucial step of automated program repair, becaus...
11/18/2019

Configuration-dependent Fault Localization

In a buggy configurable system, configuration-dependent bugs cause the f...
06/16/2023

Improving Spectrum-Based Localization of Multiple Faults by Iterative Test Suite Reduction

Spectrum-based fault localization (SBFL) works well for single-fault pro...
01/08/2021

Locating Faults with Program Slicing: An Empirical Analysis

Statistical fault localization is an easily deployed technique for quick...
02/21/2023

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI

Flaky tests are tests that pass and fail on different executions of the ...
05/08/2023

Debugging Flaky Tests using Spectrum-based Fault Localization

Non-deterministically behaving (i.e., flaky) tests hamper regression tes...

Please sign up or login with your details

Forgot password? Click here to reset