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ORCIDAbdoul Kader Kaboré
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2020 – today
- 2024
[c9]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: 396-397- [c8]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: 406-407 - [c7]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: 3-16 - [c6]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: 186-200 - [c5]Wendkûuni C. Ouédraogo, Abdoul Kader Kaboré, Haoye Tian, Yewei Song, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation. ASE 2024: 2464-2465 - [c4]Micheline Bénédicte Moumoula, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé:
Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier. ASE 2024: 2474-2475 - [i11]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 abs/2407.00225 (2024) - [i10]Micheline Bénédicte Moumoula, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé:
Large Language Models for cross-language code clone detection. CoRR abs/2408.04430 (2024) - [i9]Wendkûuni C. Ouédraogo, Yinghua Li, Abdoul Kader Kaboré, Xunzhu Tang, Anil Koyuncu, Jacques Klein, David Lo, Tegawendé F. Bissyandé:
Test smells in LLM-Generated Unit Tests. CoRR abs/2410.10628 (2024) - 2023
- [j3]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): 92:1-92:34 (2023) - [c3]Abdoul Kader Kaboré, Earl T. Barr, Jacques Klein, Tegawendé F. Bissyandé:
CodeGrid: A Grid Representation of Code. ISSTA 2023: 1357-1369 - [c2]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: 783-794 - [i8]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 abs/2301.03207 (2023) - [i7]Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé:
Learning to Represent Patches. CoRR abs/2308.16586 (2023) - [i6]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 abs/2312.14898 (2023) - 2022
- [j2]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): 31:1-31:34 (2022) - [j1]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): 77:1-77:30 (2022) - [i5]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 abs/2203.08912 (2022) - 2021
- [i4]Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé:
Checking Patch Behaviour against Test Specification. CoRR abs/2107.13296 (2021) - [i3]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 abs/2109.03326 (2021) - [i2]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 abs/2112.10123 (2021) - 2020
- [c1]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: 981-992 - [i1]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 abs/2008.02944 (2020)
Coauthor Index
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