Abdoul Kader Kaboré

According to our database, Abdoul Kader Kaboré authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.

Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé

ACM Trans. Softw. Eng. Methodol., July, 2023

Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports.

Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé

CoRR, 2023

Learning to Represent Patches.

Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2023

Negative Results of Fusing Code and Documentation for Learning to Accurately Identify Sensitive Source and Sink Methods : An Application to the Android Framework for Data Leak Detection.

Jordan Samhi, Maria Kober, Abdoul Kader Kaboré, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein

Proceedings of the IEEE International Conference on Software Analysis, 2023

CodeGrid: A Grid Representation of Code.

Abdoul Kader Kaboré, Earl T. Barr, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Predicting Patch Correctness Based on the Similarity of Failing Test Cases.

Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé

ACM Trans. Softw. Eng. Methodol., 2022

What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning.

Patrick Keller, Abdoul Kader Kaboré, Laura Plein, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé

ACM Trans. Softw. Eng. Methodol., 2022

2021

Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We?

Arthur D. Sawadogo, Quentin Guimard, Tegawendé F. Bissyandé, Abdoul Kader Kaboré, Jacques Klein, Naouel Moha

CoRR, 2021

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode.

Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein

CoRR, 2021

Checking Patch Behaviour against Test Specification.

Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2021

2020

Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair.

Haoye Tian, Kui Liu, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020