2025

Sijia Gu, Noor Nashid, Ali Mesbah. LLM Test Generation via Iterative Hybrid Program Analysis. Under Submission.
Taha Shabani, Nashid Noor, Parsa Alian, Ali Mesbah. Dockerfile Flakiness: Characterization and Repair. IEEE/ACM International Conference on Software Engineering (ICSE), 13 pages.
Parsa Alian, Nashid Noor, Mobina Shahbandeh, Taha Shabani, Ali Mesbah. A Feature-Based Approach to Generating Comprehensive End-to-End Tests. ACM/IEEE International Conference on Software Engineering (ICSE), 13 pages.

2024

Nashid Noor, Taha Shabani, Parsa Alian, and Ali Mesbah. Contextual API Completion for Unseen Repositories Using LLMs. Under Submission.
Parsa Alian, Nashid Noor, Mobina Shahbandeh, Ali Mesbah. Semantic Constraint Inference for Web Form Test Generation. ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 13 pages.

2023

Nashid Noor, Mifta Santaha, and Ali Mesbah. Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning. ACM/IEEE International Conference on Software Engineering (ICSE), 13 pages.
Mifta Sintaha, Nashid Noor, and Ali Mesbah. Katana: Dual Slicing-Based Context for Learning Bug Fixes. ACM Transactions on Software Engineering and Methodology (TOSEM) [ICSE 2024 - Journal-First Track].
Nashid Noor, Mifta Santaha, and Ali Mesbah. Embedding Context as Code Dependencies for Neural Program Repair. IEEE International Conference on Software Testing, Verification and Validation (ICST), 12 pages.

2022

Namavar Marjane, Noor Nashid, and Ali Mesbah (Both authors contributed equally). A Controlled Experiment of Different Code Representations for Learning-Based Program Repair. Empirical Software Engineering Journal (EMSE) [ICSE 2023 - Journal-First Track].