Viewpoint Invariant Object Detector - Osama Khalil; Andrew Habib (CoRR, 2012)

Finding concurrency bugs using graph-based anomaly detection in big code. - Andrew Habib (SPLASH (Companion Volume), 2016)

Is this class thread-safe? inferring documentation using graph-based learning. - Andrew Habib; Michael Pradel (ASE, 2018)

How many of all bugs do we find? a study of static bug detectors. - Andrew Habib; Michael Pradel (ASE, 2018)

Neural Bug Finding: A Study of Opportunities and Challenges. - Andrew Habib; Michael Pradel (CoRR, 2019)

Type Safety with JSON Subschema. - Andrew Habib; Avraham Shinnar; Martin Hirzel; Michael Pradel (CoRR, 2019)

Finding data compatibility bugs with JSON subschema checking. - Andrew Habib; Avraham Shinnar; Martin Hirzel; Michael Pradel (ISSTA, 2021)

Learning to Find Bugs in Programs and their Documentation. - Andrew Habib (2021)

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 001; Xin Xia 001; Jacques Klein; Tegawendé F. Bissyandé (ASE, 2022)

Predicting Patch Correctness Based on the Similarity of Failing Test Cases. - Haoye Tian; Yinghua Li; Weiguo Pian; Abdoul Kader Kaboré; Kui Liu 001; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2022)

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 (AAAI, 2023)

The Best of Both Worlds: Combining Learned Embeddings with Engineered Features for Accurate Prediction of Correct Patches. - Haoye Tian; Kui Liu 001; Yinghua Li; Abdoul Kader Kaboré; Anil Koyuncu; Andrew Habib; Li Li 029; Junhao Wen 001; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2023)

Comprehensive Framework for Facilitating the Deployment of Distributed On-Premise Analytics Applications in Resource-Constraint Environments. - Nicolai Schoch; Pascal Becker; Virendra Ashiwal; Andrew Habib (CASE, 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 001; Tegawendé F. Bissyandé (ICSE Companion, 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 (ICSE Companion, 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., 2024)

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 001; Tegawendé F. Bissyandé (Empir. Softw. Eng., 2025)

You Don't Have to Say Where to Edit! jLED - Joint Learning to Localize and Edit Source Code. - Weiguo Pian; Yinghua Li; Haoye Tian; Tiezhu Sun; Yewei Song; Xunzhu Tang; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (ACM Trans. Softw. Eng. Methodol., 2025)

Vulnerabilities in infrastructure as code: what, how many, and who? - Aicha War; Alioune Diallo; Andrew Habib; Jacques Klein; Tegawendé F. Bissyandé (Empir. Softw. Eng., 2025)