Distributed service-oriented systems render a very effective way for delivering functional systems to clients. Cloud computing alleviates the need to purchase and maintain expensive and sophisticated hardware in order to support data processing and storing. Cloud computing systems minimize upfront investment, while at the same time promise to offer high levels of performance, high availability, on-demand scalability and elasticity, and fault tolerance. In addition, it is necessary to take into account the current need to develop frameworks and offer services in the fields of the Internet of Things and Smart Environments. Both domains have blossomed in the last years at a very fast speed and the advances are in continuous development. It is therefore necessary to investigate new methodologies, architectures, frameworks to support software development in both domains to match current technological advances and market needs.
On the other hand, in both cases, techniques of Artificial Intelligence (AI) may play a role of great relevance, especially with generative AI and Large Language Models (LLM) which are nowadays enabling technologies for Software Service Engineering. It is therefore necessary to provide the means for their integration within the proposals developed to provide predictive capabilities in the field of Internet of Things and Smart Environments. In a Service Oriented Computing environment multiple services of different origin, programming backbone and execution environment collaborate with each other to perform business process operations. It is therefore quite critical to provide an overall picture of these operations and assess the flow of execution in terms of performance, compliance to standards and tasks, and optimal use of resources. Process mining extracts information from log files of systems recorded during executions, and provides the means to perform such analysis depicting reality and supporting decision making.
Accordingly, the workshop will focus on software engineering issues in the context of service-oriented systems and especially on modern trends of cloud native microservices and associated approaches, as well as their application in challenging areas like, e.g., smart data processing, Internet of Things, service-enabled data spaces and products, and Industry 4.0. Our aim is to facilitate exchange and evolution of ideas in service engineering research across multiple disciplines and to encourage participation of researchers from academia and industry. WESOACS 2024 continues a successful series of workshops that started at ICSOC 2005 in Amsterdam. Over more than fifteen years WESOA/CS has demonstrated its relevance by attracting many participants and producing high-quality papers that were published by Springer LNCS series. The WESOACS series encourages new approaches that address challenges arising from unique characteristics of service-oriented applications and cloud services, focusing on principles, methodologies, techniques and tools that support a service-oriented system development life cycle.