Abdoul Kader Kaboré

According to our database, Abdoul Kader Kaboré authored at least 17 papers between 2020 and 2024.

Collaborative distances:

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

2024

Test smells in LLM-Generated Unit Tests.

Wendkûuni C. Ouédraogo, Yinghua Li, Abdoul Kader Kaboré, Xunzhu Tang, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé

CoRR, 2024

Large Language Models for cross-language code clone detection.

Micheline Bénédicte Moumoula, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé

CoRR, 2024

Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation.

Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé

CoRR, 2024

Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models.

Serge Lionel Nikiema, Aminata Sabané, Abdoul Kader Kaboré, Rodrique Kafando, Tegawendé F. Bissyandé

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso.

Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabane, Rodrique Kafando, Abdoul Kader Kaboré, Tegawendé F. Bissyandé

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Learning to Represent Patches.

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

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation.

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

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

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

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