How Are We Doing With Using AI-Based Programming Assistants For Privacy-Related Code Generation? The Developers' Experience (EASE 2025 - Short Papers, Emerging Results) - EASE 2025

Tue 17 - Fri 20 June 2025 Istanbul, Turkey

Who

Kashumi Madampe, John Grundy, Nalin Arachchilage

Track

EASE 2025 Short Papers, Emerging Results

Time Zone

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When

Wed 18 Jun 2025 15:40 - 15:50 at Senate Hall - LLMs for SE (Code) Chair(s): Stefan Wagner

Kashumi Madampe

Monash University, Australia

Australia

John Grundy

Monash University

Australia

Nalin Arachchilage

RMIT University

Time Zone

The program is currently displayed in (GMT+03:00) Athens.

Use conference time zone: (GMT+03:00) AthensSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

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Session Program

Wed 18 Jun
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	15:30 - 17:00	LLMs for SE (Code)Short Papers, Emerging Results / AI Models / Data / Research Papers at Senate Hall Chair(s): Stefan Wagner Technical University of Munich

	15:30 10m Talk		Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential Short Papers, Emerging Results Mohit Chaudhary TCS Research, Chirag Jain TCS Research, Preethu Rose Anish TCS Research Pre-print
	15:40 10m Talk		How Are We Doing With Using AI-Based Programming Assistants For Privacy-Related Code Generation? The Developers' Experience Short Papers, Emerging Results Kashumi Madampe Monash University, Australia, John Grundy Monash University, Nalin Arachchilage RMIT University
	15:50 15m Talk		Do Prompt Patterns Affects Code Quality? A First Empirical Assessment of ChatGPT Generated Code Research Papers Antonio Della Porta University of Salerno, Stefano Lambiase University of Salerno, Fabio Palomba University of Salerno Pre-print
	16:05 15m Talk		On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software AI Models / Data Ali Nouri Volvo cars & Chalmers University of Technology, Johan Andersson Chalmers University of Technology, Kailash De Jesus Hornig Chalmers University of Technology, Zhnnan Fei Volvo Cars, Emil Knabe Volvo Cars, Hakan Sivencrona Volvo Cars, Beatriz Cabrero-Daniel University of Gothenburg, Christian Berger Chalmers University of Technology, Sweden Pre-print
	16:20 15m Talk		An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management AI Models / Data Simin Sun Chalmers University of Technology and University of Gothenburg, Yuchuan Jin Zenseact, Miroslaw Staron Chalmers University of Technology and University of Gothenburg
	16:35 10m Talk		Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity Short Papers, Emerging Results LORENZO DE TOMASI University of L’Aquila, Claudio Di Sipio University of l'Aquila, Antinisca Di Marco University of L'Aquila, Phuong T. Nguyen University of L’Aquila Pre-print
	16:45 15m Paper		Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling AI Models / Data Ishan Kavathekar International Institute of Information Technology, Hyderabad, Raghav Donakanti International Institute of Information Technology, Hyderabad, Ponnurangam Kumaraguru International Institute of Information Technology, Hyderabad, Karthik Vaidhyanathan IIIT Hyderabad Pre-print

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