SEMay 3, 2018

Internet of Things: Current Challenges in the Quality Assurance and Testing Methods

arXiv:1805.01241v143 citations
Originality Synthesis-oriented
AI Analysis

It addresses quality assurance problems for IoT developers and practitioners, but is incremental as it reviews existing challenges without proposing new solutions.

The paper tackles challenges in quality assurance and testing for Internet of Things (IoT) technology, identifying issues like security and interoperability, and presents a state-of-the-art analysis supported by a survey of ten IoT providers.

Contemporary development of the Internet of Things (IoT) technology brings a number of challenges in the Quality Assurance area. Current issues related to security, user's privacy, the reliability of the service, interoperability, and integration are discussed. All these create a demand for specific Quality Assurance methodology for the IoT solutions. In the paper, we present the state of the art of this domain and we discuss particular areas of system testing discipline, which is not covered by related work sufficiently so far. This analysis is supported by results of a recent survey we performed among ten IoT solutions providers, covering various areas of IoT applications.

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