Andrew Habib

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 18

Top Topics

Test Case Generation

Dependent Features

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)
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)
Yinghua Li, Xueqi Dang, Weiguo Pian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
Test Input Prioritization for Graph Neural Networks. IEEE Trans. Software Eng. 50 (6) (2024)
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)
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. AAAI (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)
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE (2022)
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR (2022)
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning. CoRR (2022)
Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel
Finding data compatibility bugs with JSON subschema checking. ISSTA (2021)
Andrew Habib, Michael Pradel
Neural Bug Finding: A Study of Opportunities and Challenges. CoRR (2019)
Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel
Type Safety with JSON Subschema. CoRR (2019)
Andrew Habib, Michael Pradel
Is this class thread-safe? inferring documentation using graph-based learning. ASE (2018)
Andrew Habib, Michael Pradel
How many of all bugs do we find? a study of static bug detectors. ASE (2018)
Andrew Habib
Finding concurrency bugs using graph-based anomaly detection in big code. SPLASH (Companion Volume) (2016)
Osama Khalil, Andrew Habib
Viewpoint Invariant Object Detector CoRR (2012)