Modern software technologies introduce new challenges for the development and application of suitable Verification and Validation (V&V) solutions for Information and Communications Technology (ICT) systems. ICT systems—including self-adaptive systems, cyber-physical systems, systems of systems, and AI-based software systems—are becoming increasingly prevalent and are widely used in everyday life. Accordingly, researchers and practitioners need to develop novel methodologies, techniques, and tools that improve the efficiency and effectiveness of V&V processes, ensuring the quality and reliability of these complex ICT systems. At the same time, the need to rapidly deliver competitive software while meeting regulatory and compliance requirements is reshaping how ICT systems are developed, tested, and deployed. These factors call for new, cost-effective V&V solutions that evolve alongside advances in software development practices. Research in V&V plays a crucial role in enabling robust quality assurance approaches for complex ICT systems, ultimately improving development efficiency and effectiveness while reducing the costs associated with V&V activities.
Suggested topics of interest include, but are not limited to, the following:
Requirement-based and model-based testing
Approaches and tools for formal verification and model checking
Techniques and tools for functional and non-functional assessment
Manual testing practices and techniques
Safety, security, and privacy testing
Software quality metrics
Quality assurance in Agile methodologies and continuous delivery
Search-based testing
Model-based testing
Software reliability and resilience
Test automation
Human aspects of V&V processes and approaches
Artificial Intelligence and Machine Learning applied to V&V
Quantum computing applied to V&V
V&V of Artificial Intelligence Based Software Systems
V&V of blockchain
V&V of quantum computing
Dynamic/runtime/online V&V techniques
Static analysis and static testing techniques
Fault localization
Scalability and practical applicability of testing techniques
Theory of software analysis and testing
Software certification and compliance
V&V in specific domains, such as healthcare, telecommunication, cloud computing, mobile apps, web apps, big data, automotive, cyber-physical systems, Internet of Things, etc
Empirical studies, applications, experiences, and case studies on V&V
Perspectives, challenges, and issues in V&V
Chairs: Dr. Davide Fucci (Blekinge Institute of Technology, Sweden) and Dr. Aitor Arrieta Marcos (Mondragon Unibertsitatea, Spain)
Program Committee:
TBD
Davide Fucci, Blekinge Institute of Technology, Sweden
Davide Fucci is a Docent (Associate Professor) at Blekinge Institute of Technology (BTH), Sweden. His research focuses on Software Engineering, with particular emphasis on developer-oriented testing and security, aiming to establish software quality early in the software development lifecycle and to understand the human aspects involved in these processes. His work primarily employs empirical research methods, including case studies, controlled experiments, and surveys. He has authored more than 50 research papers published in leading international journals, including IEEE Transactions on Software Engineering (TSE), ACM Transactions on Software Engineering and Methodology (TOSEM), and Empirical Software Engineering (EMSE), as well as major conferences such as ICSE, FSE, ESEM, EASE, and CHASE. Several of his publications have received awards at ESEM and EASE. In addition, he has served as program chair for multiple workshops and conference tracks.
Aitor Arrieta Marcos, Mondragon Unibertsitatea, Spain
Aitor is a Professor at Mondragon University. His research interests include software engineering and software testing areas, mostly related to the application of these to complex software systems such as Cyber-Physical Systems, AI-based systems, and Generative AI models. His work is very industry-oriented, collaborating with different companies to address real-world challenges.