3 papers
cs.SE2024
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
Sakina Fatima, Hadi Hemmati, Lionel Briand
Flaky tests are problematic because they non-deterministically pass or fail for the same software version under test, causing confusion and wasting development effort. While machin…
cs.SE2024
An Empirical Study on Bug Severity Estimation using Source Code Metrics and Static Analysis
Ehsan Mashhadi, Shaiful Chowdhury, Somayeh Modaberi +2
In the past couple of decades, significant research efforts have been devoted to the prediction of software bugs (i.e., defects). In general, these works leverage a diverse set of…
cs.SE2024
Domain Adaptation for Code Model-based Unit Test Case Generation
Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati +1
Recently, deep learning-based test case generation approaches have been proposed to automate the generation of unit test cases. In this study, we leverage Transformer-based code mo…