Randomization for Testing Systems of Systems

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 correc...

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Main Authors: LIANG, Qianhui (Althea), Rubin, S.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2009
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Online Access:https://ink.library.smu.edu.sg/sis_research/469
http://dx.doi.org/10.1109/IRI.2009.5211597
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-14682010-09-24T06:36:22Z Randomization for Testing Systems of Systems LIANG, Qianhui (Althea) Rubin, S. 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. 2009-07-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/469 info:doi/10.1109/IRI.2009.5211597 http://dx.doi.org/10.1109/IRI.2009.5211597 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University component testing integration testing randomization software testing systems of systems test cases Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic component testing
integration testing
randomization
software testing
systems of systems
test cases
Software Engineering
spellingShingle component testing
integration testing
randomization
software testing
systems of systems
test cases
Software Engineering
LIANG, Qianhui (Althea)
Rubin, S.
Randomization for Testing Systems of Systems
description 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.
format text
author LIANG, Qianhui (Althea)
Rubin, S.
author_facet LIANG, Qianhui (Althea)
Rubin, S.
author_sort LIANG, Qianhui (Althea)
title Randomization for Testing Systems of Systems
title_short Randomization for Testing Systems of Systems
title_full Randomization for Testing Systems of Systems
title_fullStr Randomization for Testing Systems of Systems
title_full_unstemmed Randomization for Testing Systems of Systems
title_sort randomization for testing systems of systems
publisher Institutional Knowledge at Singapore Management University
publishDate 2009
url https://ink.library.smu.edu.sg/sis_research/469
http://dx.doi.org/10.1109/IRI.2009.5211597
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