Language-Agnostic Generation of Header Comments using Large Language Models (SCAM 2025 - Research Track)

Who

Nathanael Yao, Juergen Dingel, Ali Tizghadam, Ibrahim Amer

Track

SCAM 2025 Research Track

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When

Mon 8 Sep 2025 13:52 - 14:15 at OGGB5 260-051 - LLMs Chair(s): Jens Dietrich

Nathanael Yao

Queen's University

Canada

Juergen Dingel

Queen's University

Canada

Ali Tizghadam

TELUS

Canada

Ibrahim Amer

Queen's University

Canada

Time Zone

The program is currently displayed in (GMT+12:00) Auckland, Wellington.

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Session Program

Mon 8 Sep
Displayed time zone: Auckland, Wellington change

13:30 - 15:00	LLMsResearch Track at OGGB5 260-051 Chair(s): Jens Dietrich Victoria University of Wellington

13:30 22m Research paper		Exploring the Potential of Large Language Models in Fine-Grained Review Comment Classification Research Track Linh Nguyen The University of Melbourne, Chunhua Liu The University of Melbourne, Hong Yi Lin The University of Melbourne, Patanamon Thongtanunam University of Melbourne Pre-print
13:52 22m Research paper		Language-Agnostic Generation of Header Comments using Large Language Models Research Track Nathanael Yao Queen's University, Juergen Dingel Queen's University, Ali Tizghadam TELUS, Ibrahim Amer Queen's University
14:15 22m Research paper		Smelling Secrets: Leveraging Machine Learning and Language Models for Sensitive Parameter Detection in Ansible Security Analysis Research Track Ruben Opdebeeck Vrije Universiteit Brussel, Valeria Pontillo Gran Sasso Science Institute, Camilo Velázquez-Rodríguez Vrije Universiteit Brussel, Wolfgang De Meuter Vrije Universiteit Brussel, Coen De Roover Vrije Universiteit Brussel Pre-print File Attached
14:37 22m Research paper		Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems Research Track Cleyton V. C. de Magalhaes CESAR School, Italo Santos University of Hawai‘i at Mānoa, Brody Stuart-Verner University of Calgary, Ronnie de Souza Santos University of Calgary Pre-print