Search

As the Internet of Things (IoT) is evolving rapidly in various verticals, such as smart cities and smart industries, the number of IoT applications is growing exponentially. Standardized conformance testing mechanisms are widely used to test software applications, including IoT applications. However, current conformance testing mechanisms require continuous human intervention and additional software to be embedded into a target device being tested, which is time consuming, costly, and requires additional memory on the target device. Therefore, there is a considerable need to enhance and optimize existing conformance testing so that it is adequate for automatically testing highly distributed constraint IoT applications. In this paper, we propose a novel mechanism for automated and scalable conformance testing for IoT applications by introducing a test triggering mechanism based on a standardized test interface. This triggering mechanism is based on several new logical components in a testing environment that exchange messages between a testing system and a target IoT device. This technique of automatic conformance testing can lessen the cost and human intercession to decrease the number of missteps and accelerate the IoT market by certifying IoT applications.

The Internet of Things (IoT) aims to change many aspects of people's daily lives by extending the scope of computing to the physical world, and thus shift the environment of computing more to a distributed and decentralized form. The amount of IoT devices and their collaborative behavior causes new challenges to the scalability of traditional software testing, and the heterogeneity of IoT devices increases costs and the complexity of coordination of testing due to the number of variables. In this paper, we introduce IoT Testing as a Service-IoT-TaaS, a novel service-based approach for an automated IoT testing framework aims to resolve constraints regarding coordination, costs, and scalability issues of traditional software testing in the context of standards-based development of IoT devices, and explore its design and implementation. IoT-TaaS is composed of remote distributed interoperability testing, scalable automated conformance testing, and semantics validation testing components adequate for testing IoT devices. To provide a conceptual overview, we analyze its technical and systemic advancement and compare it to traditional testing with concrete examples.