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ORCIDAndrew Habib
Person information
- affiliation: University of Luxembourg, SnT, Luxembourg
- affiliation (PhD 2021): Technical University of Darmstadt, Department of Computer Science, Germany
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2020 – today
- 2024
[j3]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): 1396-1424 (2024)- [c9]Nicolai Schoch, Pascal Becker, Virendra Ashiwal, Andrew Habib:
Comprehensive Framework for Facilitating the Deployment of Distributed On-Premise Analytics Applications in Resource-Constraint Environments. CASE 2024: 1861-1868 - [c8]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 - [c7]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 - 2023
- [j2]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) - [c6]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: 5239-5247 - [i8]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) - [i7]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
- [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) - [c5]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: 59:1-59:13 - [i6]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) - [i5]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 abs/2206.06460 (2022) - [i4]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 abs/2208.04125 (2022) - 2021
- [b1]Andrew Habib:
Learning to Find Bugs in Programs and their Documentation. Technical University of Darmstadt, Germany, 2021 - [c4]Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel:
Finding data compatibility bugs with JSON subschema checking. ISSTA 2021: 620-632
2010 – 2019
- 2019
- [i3]Andrew Habib, Michael Pradel:
Neural Bug Finding: A Study of Opportunities and Challenges. CoRR abs/1906.00307 (2019) - [i2]Andrew Habib, Avraham Shinnar, Martin Hirzel, Michael Pradel:
Type Safety with JSON Subschema. CoRR abs/1911.12651 (2019) - 2018
- [c3]Andrew Habib, Michael Pradel:
Is this class thread-safe? inferring documentation using graph-based learning. ASE 2018: 41-52 - [c2]Andrew Habib, Michael Pradel:
How many of all bugs do we find? a study of static bug detectors. ASE 2018: 317-328 - 2016
- [c1]Andrew Habib:
Finding concurrency bugs using graph-based anomaly detection in big code. SPLASH (Companion Volume) 2016: 55-56 - 2012
- [i1]Osama Khalil, Andrew Habib:
Viewpoint Invariant Object Detector. CoRR abs/1212.0030 (2012)
Coauthor Index
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