Ακαδημαϊκές δημοσιεύσεις

IEEE - ICST 2026

How well LLM-based test generation techniques perform with newer LLM versions?

Screenshot 2026-02-20 at 13-11-20 How well LLM-based test generation techniques perform with newer LLM versions - 2601.09695v1.pdf
Συντάκτες: Michael Konstantinou, Renzo Degiovanni, Mike Papadakis
Περίληψη:

This study shows that modern LLMs using a simple test-generation approach can outperform more complex state-of-the-art techniques in code coverage and fault detection while maintaining comparable or lower costs.

Διαβάστε περισσότερα :  Σύνδεσμος

ArXiv

On the risk of coding before testing: An empirical study on LLM-based test generation workflow

Screenshot 2026-09-14 at 11-06-48 On the risk of coding before testing An empirical study on LLM-based test generation workflow - 2607.05139v1.pdf
Συντάκτες: Michael Konstantinou, Florian Tambon, Mike Papadakis
Περίληψη:

The paper investigates error propagation in LLM-based software development, where mistakes in LLM-generated code can bias subsequently generated tests, causing both the implementation and tests to agree on incorrect behavior. Experiments show that tests generated after faulty code detect significantly fewer defects than independently generated tests (14% vs. 25%), and the problem persists across different prompting strategies and multi-step agentic workflows.

Διαβάστε περισσότερα :  Σύνδεσμος

ArXiv

YATE: The Role of Test Repair in LLM-Based Unit Test Generation

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Συντάκτες: Michael Konstantinou, Renzo Degiovanni, Jie M. Zhang, Mark Harman, Mike Papadakis
Περίληψη:

This study introduces YATE, a technique that repairs incorrect LLM-generated unit tests using static analysis and re-prompting, significantly improving code coverage and fault detection over existing LLM-based testing methods.

Διαβάστε περισσότερα :  Σύνδεσμος

ArXiv

Do LLMs generate test oracles that capture the actual or the expected program behaviour?

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Συντάκτες: Michael Konstantinou, Renzo Degiovanni, Mike Papadakis
Περίληψη:

This study evaluates LLMs for software test oracle generation and finds that, despite often capturing actual rather than expected behavior, LLM-generated oracles can outperform traditional tools like EvoSuite in fault detection.

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Integrative Zoology, January 2025.

A Novel Multidisciplinary Approach for Reptile Movement and Behavior Analysis

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Συντάκτες: Savvas Zotos, Marilena Stamatiou, Sofia-Zacharenia Marketaki, Michael Konstantinou, Andreas Aristidou, Duncan J. Irschick, Jeremy A. Bot, Emily L. C. Shepard, Mark D. Holton, Ioannis N. Vogiatzakis
Περίληψη:

This study presents a multidisciplinary approach combining accelerometers, video, motion capture, 3D reconstruction, and behavioral databases to accurately record, visualize, and analyze complex behaviors in small reptiles.

Διαβάστε περισσότερα :  Σύνδεσμος

IEEE Computer Graphics and Applications, May 2022

Digitizing Wildlife: The case of reptiles 3D virtual museum

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Συντάκτες: Savvas Zotos, Marilena Lemonari, Michael Konstantinou, Anastasios Yiannakidis, Georgios Pappas, Panayiotis Kyriakou, Ioannis N. Vogiatzakis, Andreas Aristidou.
Περίληψη:

The paper presents an interactive 3D virtual museum that uses realistic reptile models, motion-captured behaviors, and VR/AR technologies to support wildlife education, research, and preservation.

Διαβάστε περισσότερα :  Σύνδεσμος