AI Engineering & Quality
Reference architectures and pipelines for trustworthy AI systems; MLOps; empirical measurement and evaluation of AI‑based software.
Luca Ardito
Associate Professor at the Department of Control and Computer Engineering (DAUIN), Politecnico di Torino. My research interests include software engineering, the Internet of Things (IoT), testing, AI engineering, and energy‑efficient software. I carry out technology transfer activities through Smartotum, a Politecnico spin‑off focused on smart home, energy monitoring, and building automation.
Research
Green & Energy‑Aware Software
Metrics and techniques for reducing the energy consumption of mobile and cloud applications; reproducible benchmarks and analysis.
Internet of Things
IoT solutions for smart home and energy management: edge/cloud architectures, interoperability, privacy and security by design.
Gamification in Software Engineering Processes
Game‑based mechanisms applied to requirements, code review, and testing to improve engagement, quality, and speed; quantitative metrics and controlled studies.
Selected Publications
- Aldini, A.; Ardito, L.; Bianco, G.; Valsesia, M. (2025). A Rust library for behaviours assessment in software certification. IEEE Internet of Things Journal.
- Coppola, R.; Fulcini, T.; Ardito, L.; Torchiano, M. (2025). Kotlin Assimilating the Android Ecosystem: An Appraisal of Diffusion and Impact on Maintainability. The Journal of Systems and Software, 222. DOI: 10.1016/j.jss.2025.112346.
- Coppola, R.; Fulcini, T.; Ardito, L.; Torchiano, M.; Alégroth, E. (2024). On Effectiveness and efficiency of Gamified Exploratory GUI Testing. IEEE Transactions on Software Engineering, 50(2), 322–337. DOI: 10.1109/TSE.2023.3348036.
Full list available on IRIS.
Teaching
Software Engineering — MSc in Computer Engineering
Advanced course on principles and practices for large‑scale software development: requirements and UML, architecture and project management, CI/CD and testing. Strong focus on teamwork and industrial tools.
Information Systems — MSc in Management Engineering
Concepts and methods for the analysis, design, and management of enterprise information systems. Topics include process modelling, UX, full life‑cycle design, and real‑world case studies in lab activities.
Object‑Oriented Programming — BSc in Computer Engineering
Fundamentals of the object‑oriented paradigm in Java, software life‑cycle management, and key tools (version control, build, testing) for medium‑sized projects.
Empirical Research Methods — PhD
Introduces methods and tools to: conduct systematic literature reviews; design, plan, and run experiments and empirical studies; collect data from heterogeneous sources (text, repositories, human subject observation); build statistical models from product, process, and experimental data; and analyse the intersection of ethics and computer science when using empirical methods.
Empirical Research Methods — PhD
Introduces methods and tools to: conduct systematic literature reviews; design, plan, and run experiments and empirical studies; collect data from heterogeneous sources (text, repositories, human subject observation); build statistical models from product, process, and experimental data; and analyse the intersection of ethics and computer science when using empirical methods.
Contacts
Office
DAUIN — Corso Castelfidardo 39, 10129 Torino (Italy)
Phone: +39 011 090 7032
luca.ardito [at] polito.it
Social
Profiles and databases
My official research profiles can be found on the following international databases: