Abdoul Kader Kaboré

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Dependent Features

Transfer Learning

Test Case Generation

Top Venues

ACM Trans. Softw. Eng. Methodol.

Publications

Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation. ICSE Companion (2024)
Serge Lionel Nikiema, Aminata Sabané, Abdoul Kader Kaboré, Rodrique Kafando, Tegawendé F. Bissyandé
Detecting Illicit Data Leaks on Android Smartphones Using an Artificial Intelligence Models. AIAI (2) (2024)
Abdoul Aziz Bonkoungou, Souleymane Zio, Aminata Sabane, Rodrique Kafando, Abdoul Kader Kaboré, Tegawendé F. Bissyandé
A Comparison of AI Methods for Groundwater Level Prediction in Burkina Faso. AIAI (3) (2024)
Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
Learning to Represent Patches. ICSE Companion (2024)
Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Large-scale, Independent and Comprehensive study of the power of LLMs for test case generation. CoRR (2024)
Abdoul Kader Kaboré, Earl T. Barr, Jacques Klein, Tegawendé F. Bissyandé
CodeGrid: A Grid Representation of Code. ISSTA (2023)
Jordan Samhi, Maria Kober, Abdoul Kader Kaboré, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein
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. SANER (2023)
Jordan Samhi, Maria Kober, Abdoul Kader Kaboré, Steven Arzt, Tegawendé F. Bissyandé, Jacques Klein
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. CoRR (2023)
Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyande
Learning to Represent Patches. CoRR (2023)
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports. CoRR (2023)
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. CoRR (2022)
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
Predicting Patch Correctness Based on the Similarity of Failing Test Cases. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Patrick Keller, Abdoul Kader Kaboré, Laura Plein, Jacques Klein, Yves Le Traon, Tegawendé F. Bissyandé
What You See is What it Means! Semantic Representation Learning of Code based on Visualization and Transfer Learning. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Arthur D. Sawadogo, Quentin Guimard, Tegawendé F. Bissyandé, Abdoul Kader Kaboré, Jacques Klein, Naouel Moha
Early Detection of Security-Relevant Bug Reports using Machine Learning: How Far Are We? CoRR (2021)
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé
Checking Patch Behaviour against Test Specification. CoRR (2021)
Nadia Daoudi, Jordan Samhi, Abdoul Kader Kaboré, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image Representation of Bytecode. CoRR (2021)
Haoye Tian, Kui Liu, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, Tegawendé F. Bissyandé
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. CoRR (2020)
Haoye Tian, Kui Liu, Abdoul Kader Kaboré, Anil Koyuncu, Li Li, Jacques Klein, Tegawendé F. Bissyandé
Evaluating Representation Learning of Code Changes for Predicting Patch Correctness in Program Repair. ASE (2020)