SayedHassan Khatoonabadi

Orcid: 0000-0003-0615-9242

According to our database1, SayedHassan Khatoonabadi authored at least 15 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow.
CoRR, July, 2025

Evaluating the Use of LLMs for Documentation to Code Traceability.
CoRR, June, 2025

A Large-scale Class-level Benchmark Dataset for Code Generation with LLMs.
CoRR, April, 2025

RepoChat: An LLM-Powered Chatbot for GitHub Repository Question-Answering.
Proceedings of the 22nd IEEE/ACM International Conference on Mining Software Repositories, 2025

The Software Librarian: Python Package Insights for Copilot.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests.
IEEE Trans. Software Eng., October, 2024

Understanding the Helpfulness of Stale Bot for Pull-Based Development: An Empirical Study of 20 Large Open-Source Projects.
ACM Trans. Softw. Eng. Methodol., February, 2024

Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering.
CoRR, 2024

An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots.
CoRR, 2024

Automatic Detection of LLM-generated Code: A Case Study of Claude 3 Haiku.
CoRR, 2024

Is ChatGPT a Good Software Librarian? An Exploratory Study on the Use of ChatGPT for Software Library Recommendations.
CoRR, 2024

On the Variability of AI-based Software Systems Due to Environment Configurations.
CoRR, 2024

2023
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests-A Mixed-Methods Study of 10 Large Open-Source Projects.
ACM Trans. Softw. Eng. Methodol., January, 2023

2021
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests.
CoRR, 2021

GAP2WSS: A Genetic Algorithm based on the Pareto Principle for Web Service Selection.
CoRR, 2021


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