Portrait of Ketai Qiu
Ketai Qiu
邱珂泰

PhD student specializing in Generative AI to drive innovation and automation in Software Engineering

📍Switzerland 🇨🇭

News

Oct 2025

Our paper E-Test: E'er-Improving Test Suites is accepted to ICSE 2026! 🎉🎉🎉🎉🎉

Jun 2025

I have won The ACM Student Research Competition (SRC) at FSE 2025! 🎉🎉🎉🎉🎉

Mar 2025

My paper Ever-Improving Test Suite by Leveraging Large Language Models is accepted to FSE '25 Student Research Competition! 🎉

Oct 2024

I have passed the Ph.D. prospectus in the Faculty of Informatics at USI! 🎉🎉🎉

May 2024

Our paper From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030 is accepted to FSE '24: SE 2030 Workshop! 🎉

Apr 2024

Our paper Predicting Failures of Autoscaling Distributed Applications is accepted to FSE '24! 🎉

Dec 2023

My paper Autonomic Testing: Testing with Scenarios from Production is accepted to ICSE '24: Doctoral Symposium! 🎉

Sep 2023

I've joined the STAR group as a PhD student! 🎉

Bio

Ketai Qiu is a PhD student in Informatics supervised by Prof. Mauro Pezzè and Dr. Luca Di Grazia at Università della Svizzera italiana (USI) in Switzerland since September 1, 2023. His research focuses on AI4SE, Software Quality and Testing. His research is funded by Swiss National Science Foundation project A-Test Autonomic Software Testing.

Before joining the STAR group, Ketai graduated with a Master of Science (summa cum laude) in Software and Data Engineering from USI in June 2023, defending his thesis titled Experimental Evaluation of Failure Predictors for Industrial-Scale Applications under the supervision of Prof. Mauro Pezzè and Dr. Rahim Heydarov. In summer 2022, Ketai conducted a research internship on Experimental Evaluation of Failure Predictors for Containerized Cloud Applications supported by a grant from the Faculty of Informatics, USI.

Ketai received his B.Eng. with honours in Network Engineering from Nanjing Agricultural University in China, where he completed a thesis on Design and Implementation of a Mobile Application Called Mistake Recorder under the supervision of Prof. Zhonghong Xie in June 2021. He is proud to have graduated from Suzhou Industrial Park Xinghai Experimental Middle School in July 2017.

Publications

ICSE

E-Test: E'er-Improving Test Suites

Ketai Qiu, Luca Di Grazia, Leonardo Mariani, Mauro Pezzè

Proceedings of the IEEE/ACM 48th International Conference on Software Engineering

2026

TOSEM

From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030

Ketai Qiu, Niccolò Puccinelli, Matteo Ciniselli, Luca Di Grazia

ACM Transactions on Software Engineering and Methodology

FSE-SRC

Ever-Improving Test Suite by Leveraging Large Language Models

Ketai Qiu

International Conference on the Foundations of Software Engineering (FSE '25): Student Research Competition

2025

SIGSOFT

The Trailer of the ACM 2030 Roadmap for Software Engineering

Mauro Pezzè, Matteo Ciniselli, Luca Di Grazia, Niccolò Puccinelli, Ketai Qiu

ACM SIGSOFT Software Engineering Notes

SE2030

From Today’s Code to Tomorrow’s Symphony: The AI Transformation of Developer’s Routine by 2030

Ketai Qiu, Niccolò Puccinelli, Matteo Ciniselli, Luca Di Grazia

International Conference on the Foundations of Software Engineering (FSE '24): Software Engineering in 2030 Workshop

🚀 This paper received widespread media attention on The Register and Swiss IT Magazine

FSE

Predicting Failures of Autoscaling Distributed Applications

Giovanni Denaro, Noura El Moussa, Rahim Heydarov, Francesco Lomio, Mauro Pezzè, Ketai Qiu* (authors are listed alphabetically)

International Conference on the Foundations of Software Engineering (FSE '24)

ICSE-DS

Autonomic Testing: Testing with Scenarios from Production

Ketai Qiu

IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion '24)

2024

* denotes the corresponding author.

All available publications are licensed under CC BY 4.0

Supervised Theses

Nicola Perucchi
Year
2026
Degree
Bachelor in Informatics
Title
Evaluating Local Code Language Models on JavaScript-to-Java Translation
Abstract
Evaluated how well small open language models perform JavaScript-to-Java code translation, analyzing the impact of model size, code specialization, and generation strategies on compilation and behavioral correctness.
Artur Lavrov
Year
2026
Degree
Bachelor in Informatics
Title
Evaluation of the LLM Generated Go Code
Abstract
Developed LPEB, a containerized framework for evaluating and verifying locally generated code from compact large language models through automated compilation, linting, and execution.
Alessandro Zaccaria
Year
2026
Degree
Bachelor in Informatics
Title
Benchmarking AI Code Generation
Abstract
Evaluated how different large language models and prompting strategies affect the quality of AI-generated code through a benchmark of 360 implementations across 10 models and 6 prompts.
Xiaorui Wang
Year
2025
Degree
Master in Informatics
Title
A GAI Test Case Generator for C++ Programs
Abstract
Developed an automated approach for generating integration tests for C++ projects by combining graph-based structural analysis with large language models to identify interacting components and synthesize executable tests.
Luca Rossinelli
Year
2025
Degree
Bachelor in Informatics
Title
Automatic Generation of Test Cases
Abstract
Developed an automated approach for generating integration tests in Python by combining code analysis, knowledge graphs, and large language models.

Services

Academic Reviewer
  • IEEE Transactions on Software Engineering
  • Springer Nature Computing
Student Volunteer
  • FSE 2024
  • FSE 2025

Teaching

Role
Teaching Assistant
Level
Undergraduate
Instructor
Academic year
2026-2027
Semester
Fall
ECTS
9
Language
English
Role
Teaching Assistant
Level
Graduate
Instructor
Academic year
2025-2026
Semester
Spring
ECTS
6
Language
English
Role
Teaching Assistant
Level
Undergraduate
Instructor
Academic year
2025-2026
Semester
Fall
ECTS
9
Language
English
Role
Teaching Assistant
Level
Undergraduate
Instructor
Academic year
2024-2025
Semester
Spring
ECTS
9
Language
English
Role
Teaching Assistant
Level
Undergraduate
Instructor
Academic year
2024-2025
Semester
Fall
ECTS
9
Language
English
Role
Teaching Assistant
Level
Graduate
Instructor
Academic year
2023-2024
Semester
Spring
ECTS
6
Language
English
Role
Teaching Assistant
Level
Undergraduate
Instructor
Academic year
2023-2024
Semester
Fall
ECTS
6
Language
English