Paper Info
Title
Randomization for testing systems of systems
Abstract
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 pseudoproof 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.
Year
DOI
Venue
2009
10.1109/IRI.2009.5211597
IRI
Keywords
Field
DocType
system integration,algorithm design and analysis,data mining,programming language,software systems,system of systems,component testing,systems of systems,test cases,integration testing,software architecture,software testing,programming languages,randomization,value added,service oriented architecture
System integration testing,Programming language,Integration testing,Test Management Approach,System testing,Computer science,White-box testing,Non-regression testing,Test case,Keyword-driven testing
Conference
Citations 
PageRank 
References 
3
0.44
6
Authors
2
Name
Order
Citations
PageRank
Qianhui Liang127520.24
Stuart Harvey Rubin27320.96