220 citations · 1.2k across the 49 of their papers we have counts for
4 papers · 2 filters
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?
Arthur D. Sawadogo, Quentin Guimard, Tegawendé F. Bissyandé +3
Bug reports are common artefacts in software development. They serve as the main channel for users to communicate to developers information about the issues that they encounter whe…
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements
Shangwen Wang, Kui Liu, Bo Lin +4
Software Fault Localization refers to the activity of finding code elements (e.g., statements) that are related to a software failure. The state-of-the-art fault localization techn…
Predicting Patch Correctness Based on the Similarity of Failing Test Cases
Haoye Tian, Yinghua Li, Weiguo Pian +5
Towards predicting patch correctness in APR, we propose a simple, but novel hypothesis on how the link between the patch behaviour and failing test specifications can be drawn: sim…
RAICC: Revealing Atypical Inter-Component Communication in Android Apps
Jordan Samhi, Alexandre Bartel, Tegawendé F. Bissyandé +1
Inter-Component Communication (ICC) is a key mechanism in Android. It enables developers to compose rich functionalities and explore reuse within and across apps. Unfortunately, as…