MONA LISA Project Poster – ITEA PO Days 2026
The MONA LISA project poster presented at the ITEA Project Outline Preparation Days 2026 in Istanbul.
Publications
Papers, deliverables and project documents from the MONA LISA consortium.
MONA LISA Project Poster Published
Batur Alp Akdoğan
The ITEA project profile poster of the MONA LISA project has been published. You can download the poster to learn more about the project.
Who Tests the Tests? Model-Based Validation of AI-Generated Test Cases
Eduard Paul Enoiu
A conceptual framework that uses model-based testing to check AI-generated test cases and classify them as model-backed, model-extending or model-inconsistent.
Test Design and Review Argumentation in AI-Assisted Test Generation
Eduard Paul Enoiu, Robert Feldt
A taxonomy and template that describe each AI-generated test case by its goal, claim, reason and evidence, supporting both test design and review.
(Over)Reliance on Test Agents in AI-Assisted Software Testing
Eduard Paul Enoiu
A study of overreliance on AI test agents as both an agency and an assurance problem, with a framework for collecting data on it in test agent workflows.
Folklore in Software Engineering: A Definition and Conceptual Foundations
Eduard Paul Enoiu, Jean Malm, Gregory Gay
A working definition of software engineering folklore, the informal narratives and heuristics shared among practitioners, based on a literature review and interviews with 12 industrial practitioners in Sweden.
Benchmarking Large Language Models for Root Cause Analysis in Train Control Software Testing
Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu, Wasif Afzal
A benchmark of seven large language models for automated root cause analysis of test failures, using execution logs from Alstom’s digital twin-based testing of train control software.