Conference Report
QualITA26 Workshop Organizers Welcome
A comprehensive overview of the annual Italian Conference on System and Service Quality (QualITA), highlighting its goals, featured content, and community engagement.
Key Conference Impact & Engagement
QualITA26 continues its tradition of fostering collaboration and advancing research in system and service quality.
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
The Italian Conference on System and Service Quality (QualITA) is the annual event of the CINI System and Service Quality Working Group. Its main goal is to bring together Italian researchers, practitioners, and professionals from academia, industry, and public administration interested in the qualities of computing systems and services, such as performance, dependability, trustworthiness, efficiency, resilience, and sustainability. QualITA aims to highlight quality aspects, considering the complex, heterogeneous, and multidisciplinary environment in which modern computing systems operate, as well as their application domains, characterized by an increasing demand for resilient and sustainable solutions that meet efficiency and time-constrained requirements.
After a thorough review process, QualITA26 features 5 short papers and 4 full papers, covering methodological and practical aspects of quality science and engineering, ranging from modeling and design techniques to evaluation tools and case studies on domains such as cloud, edge, IoT, cyber-physical systems, high-performance computing, artificial intelligence, software and data quality. The workshop also includes the keynote talk titled 'We Optimized the Models and Broke the Community: Social Awareness as a Missing Requirement in ML-Enabled Software Engineering', by Gemma Catolino from the University of Salerno.
QualITA provides a venue for showcasing consolidated knowledge, enabling the community to learn from robust findings, appreciate the evolution of ongoing research lines, and foster discussions on the impact, lessons learned, and future directions emerging from mature contributions. This track also serves as a space to propose collaborative initiatives, seek partners for future studies, or initiate discussions on emerging challenges and opportunities. The goal is to foster an open, constructive, and forward-looking environment in which early-stage research can grow, mature, and connect with potential collaborators across academia and industry. We would like to thank Professor Salvatore Distefano, chair of the CINI System and Service Quality Working Group, for his active leadership of the community. We are grateful to the authors for their contributions and to the program committee, who worked very hard in reviewing papers and providing feedback to authors. Finally, we thank ICPE for hosting our workshop.
Research & Collaboration Cycle
Comprising 5 short papers and 4 full papers, covering diverse areas of quality science and engineering.
Impact of 'Emerging Ideas' Track
The 'Emerging Ideas, Early Results, Feedback & Collaboration' track provides researchers and practitioners with the opportunity to share novel ideas, preliminary findings, or ongoing work that could benefit from early visibility within the community. These contributions, although not included in the proceedings, present innovative directions, exploratory research, or open problems that can benefit from peer feedback to inform subsequent stages of development. This fosters innovation and accelerates research maturation.
Calculate Your Potential AI Impact
Estimate the efficiency gains and cost savings your organization could achieve by implementing advanced AI solutions discussed at QualITA26.
Your AI Implementation Roadmap
A structured approach to integrating cutting-edge quality and AI research into your operations, based on successful methodologies.
Discovery & Strategy
Assess current systems, identify pain points, and define AI goals aligned with business objectives. Leverage insights from QualITA26 papers to inform strategic directions.
Solution Design & Prototyping
Based on selected methodologies from the conference, design tailored AI solutions. Develop and test initial prototypes to validate concepts and refine requirements.
Development & Integration
Build out the full AI solution, integrating it seamlessly with existing enterprise infrastructure. Focus on robust, scalable, and secure deployment as emphasized in quality research.
Deployment & Optimization
Launch the AI system, monitor performance, and gather feedback for continuous improvement. Apply quality metrics and evaluation techniques to ensure ongoing efficiency and reliability.
Ready to Transform Your Enterprise with AI?
Leverage the latest in System and Service Quality research. Schedule a personalized session to discuss your specific needs and opportunities.