Randomization for Testing Systems of Systems
Conference Proceeding Article
This paper applies randomization theory to the problem of selecting software test cases for software systems and applications in order to overcome the hurdle of high cost in testing componentized 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 randomized. 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 randomized form. The advantages offered by such randomization are ever present in the algorithm, programming language, integration, and workflow design.
component testing, integration testing, randomization, software testing, systems of systems, test cases
IRI 2009: IEEE International Conference on Information Reuse and Integration, 10-12 August, Las Vegas: Proceedings
City or Country
Las Vegas, NV
LIANG, Qianhui (Althea) and Rubin, S..
Randomization for Testing Systems of Systems. (2009). IRI 2009: IEEE International Conference on Information Reuse and Integration, 10-12 August, Las Vegas: Proceedings. 110-114. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/469