Andrew Habib

According to our database, Andrew Habib authored at least 17 papers between 2012 and 2024.

Collaborative distances:

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

2024

Test Input Prioritization for Graph Neural Networks.

Yinghua Li, Xueqi Dang, Weiguo Pian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé

IEEE Trans. Software Eng., June, 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

Comprehensive Framework for Facilitating the Deployment of Distributed On-Premise Analytics Applications in Resource-Constraint Environments.

Nicolai Schoch, Pascal Becker, Virendra Ashiwal, Andrew Habib

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 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

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning.

Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.

Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021

Learning to Find Bugs in Programs and their Documentation.

Andrew Habib

PhD thesis, 2021

Finding data compatibility bugs with JSON subschema checking.

Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2019

Type Safety with JSON Subschema.

Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel

CoRR, 2019

Neural Bug Finding: A Study of Opportunities and Challenges.

Andrew Habib, Michael Pradel

CoRR, 2019

2018

How many of all bugs do we find? a study of static bug detectors.

Andrew Habib, Michael Pradel

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Is this class thread-safe? inferring documentation using graph-based learning.

Andrew Habib, Michael Pradel

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

2016

Finding concurrency bugs using graph-based anomaly detection in big code.

Andrew Habib

Proceedings of the Companion Proceedings of the 2016 ACM SIGPLAN International Conference on Systems, 2016

2012

Viewpoint Invariant Object Detector

Osama Khalil, Andrew Habib

CoRR, 2012