Randomisation in designing software tests for systems of systems
by Qianhui Liang; Stuart H. Rubin
International Journal of Information and Decision Sciences (IJIDS), Vol. 4, No. 2/3, 2012

Abstract: This paper applies randomisation theory to the problem of selecting software test cases for software systems and applications in order to overcome the high costs incurred in testing componentised systems of systems (SoS). We have used a corner point semantics, which can approximate a proof of correctness – termed a pseudo-proof of correctness. Test cases for each component are designed to be mutually orthogonal, or randomised. Integration testing is performed through a composition of the test cases for components with some value-added test cases to cover integration aspects of the system. Integration testing is also designed in such a way that the testing algorithm is written in randomised form. In this paper, we present a theoretical framework for randomising test design for component and integration testing. We also show a meta heuristic algorithm based on the framework to be used with test design methodologies that are randomisation-friendly. The advantages offered by such randomisation are ever present in the algorithm, programming language, integration, and workflow design.

Online publication date: Sat, 09-Aug-2014

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