Andrew Habib

25 papers A* 4A 1Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning to represent code changes.
Empir. Softw. Eng.
Xunzhu Tang, Haoye Tian, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Kisub Kim, Jacques Klein, Tegawendé F. Bissyandé
2025 J jnl
Enriching automatic test case generation by extracting relevant test inputs from bug reports.
Empir. Softw. Eng.
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2025 J jnl
Vulnerabilities in infrastructure as code: what, how many, and who?
Empir. Softw. Eng.
Aicha War, Alioune Diallo, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2025 J jnl
You Don't Have to Say Where to Edit! jLED - Joint Learning to Localize and Edit Source Code.
ACM Trans. Softw. Eng. Methodol.
Weiguo Pian, Yinghua Li, Haoye Tian, Tiezhu Sun, Yewei Song, Xunzhu Tang, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2024 — conf
Comprehensive Framework for Facilitating the Deployment of Distributed On-Premise Analytics Applications in Resource-Constraint Environments.
CASE
Nicolai Schoch, Pascal Becker, Virendra Ashiwal, Andrew Habib
2024 — conf
Extracting Relevant Test Inputs from Bug Reports for Automatic Test Case Generation.
ICSE Companion
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2024 — conf
Learning to Represent Patches.
ICSE Companion
Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2024 J jnl
Test Input Prioritization for Graph Neural Networks.
IEEE Trans. Software Eng.
Yinghua Li, Xueqi Dang, Weiguo Pian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2023 J jnl
Enriching Automatic Test Case Generation by Extracting Relevant Test Inputs from Bug Reports.
CoRR
Wendkûuni C. Ouédraogo, Laura Plein, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, David Lo, Tegawendé F. Bissyandé
2023 J jnl
Learning to Represent Patches.
CoRR
Xunzhu Tang, Haoye Tian, Zhenghan Chen, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2023 A* conf
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning.
AAAI
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2023 J jnl
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
ACM Trans. Softw. Eng. Methodol.
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
2022 J jnl
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.
CoRR
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2022 A* conf
Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.
ASE
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
2022 J jnl
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning.
CoRR
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2022 J jnl
Predicting Patch Correctness Based on the Similarity of Failing Test Cases.
ACM Trans. Softw. Eng. Methodol.
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
2022 J jnl
The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches.
CoRR
Haoye Tian, Kui Liu, Yinghua Li, Abdoul Kader Kaboré, Anil Koyuncu, Andrew Habib, Li Li, Junhao Wen, Jacques Klein, Tegawendé F. Bissyandé
2021 A conf
Finding data compatibility bugs with JSON subschema checking.
ISSTA
Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel
2021 — —
Learning to Find Bugs in Programs and their Documentation.
Andrew Habib
2019 J jnl
Neural Bug Finding: A Study of Opportunities and Challenges.
CoRR
Andrew Habib, Michael Pradel
2019 J jnl
Type Safety with JSON Subschema.
CoRR
Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel
2018 A* conf
How many of all bugs do we find? a study of static bug detectors.
ASE
Andrew Habib, Michael Pradel
2018 A* conf
Is this class thread-safe? inferring documentation using graph-based learning.
ASE
Andrew Habib, Michael Pradel
2016 — conf
Finding concurrency bugs using graph-based anomaly detection in big code.
SPLASH (Companion Volume)
Andrew Habib
2012 J jnl
Viewpoint Invariant Object Detector
CoRR
Osama Khalil, Andrew Habib