It leads to the requirement of service management in the service repository. Web services can perform any task on a single click event, and these are available over the internet in terms of quantity, quality, and variety.

Web APIs or web services are providing immense power to IoT and are working as a backbone in the successful journey of IoT. With the advancement of web 2.0 and the development of the Internet of Things (IoT), all tasks can be handled with the help of handheld devices.

We conducted large-scale experiments using a real-world Web service dataset to demonstrate the practicality, effectiveness and efficiency of KS3. KS3 offers a new paradigm for SBS engineering that can significantly save the time and effort during the system engineering process. KS3 assists system engineers without detailed knowledge of SOA techniques in searching for component services to build SBSs by typing a few keywords that represent the tasks of the SBSs with quality constraints and optimisation goals for system quality, e.g., reliability, throughput and cost. To address this issue, we propose KS3 (Keyword Search for Service-based Systems), a novel approach that integrates and automates the system planning, service discovery and service selection operations for building SBSs based on keyword search. Existing approaches require that system engineers have detailed knowledge of SOA techniques which is often too demanding. Finding appropriate component services to compose is a key step in the SBS engineering process.

With the fast growth of applications of service-oriented architecture (SOA) in software engineering, there has been a rapid increase in demand for building service-based systems (SBSs) by composing existing Web services.

Keyword researcher pro v12