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Testing IoT Systems



Jeffrey M. Voas, David R. Kuhn, Phil Laplante


The ability to test systems that are based on the underlying products and services commonly referred to as the Internet of 'things' (IoT) is discussed. The role of a static metric that can be applied to design, architectures, hardware, 'things', and software is discussed. The metric, the Domain Range Ratio (DRR) [2], is simply the number of test cases divided by the number of system outputs. Any system built from IoT products and services, termed a Network of Things (NoT) [1], will likely have low DRRs. Low DRRs hint that it will be harder for test cases to detect bugs since internal state corruptions will not propagate and therefore remain undetected. Low DRR scores also suggest where to place internal test assertions. Combinatorial testing is a technique that offers test case minimization yet without sacrificing fault detection. In this paper, the level of combinatorial testing as a function of DRR scores is studied, leading to improved fault detection for a specific NoT during test.
Conference Dates
March 26-29, 2018
Conference Location
Conference Title
12th IEEE International Symposium on Service-Oriented System Engineering


Internet of Things (IoT), Network of Things (NoT), software testing, combinatorial testing, Domain Range Ratio (DRR), assertions, test case reduction


Voas, J. , Kuhn, D. and Laplante, P. (2018), Testing IoT Systems, 12th IEEE International Symposium on Service-Oriented System Engineering, Bamberg, -1, [online], (Accessed June 16, 2024)


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Created March 26, 2018, Updated November 10, 2018