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Multi-Paradigm Models as Source for Automatic Test Construction Victor Kuliamin ISP RAS, Moscow
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Why Multiple Models? Requirement s FunctionalityReliabilityEfficiencyUsability Testing ?
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Modeling Techniques Operational Can be executed by virtual machine Contract Pre- and postconditions, data integrity constraints History-based Constraints on possible traces Algebraic Equivalence between different execution histories (C)(E)FSM, LTS, PN, CSP, ASM SDL, LOTOS, Lustre, VDM, Murphi, Simulink Z, B, ADL, JML, Eiffel, VDM, RSL Larch-C++ TL, MSC Larch, ML, OBJ
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Tasks of Testing Software under Test Evaluate Correctness Organize Bundle of Test Inputs Construct Single Test Input Evaluate Testing Quality Test Results Transform Test Inputs and Responses Gather Responses
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Modeling Techniques Comparison Operational Contract History-based Algebraic Behavior EvaluationCloseness to Requirements Low-level Coverage High-level Coverage Test Sequence Construction Single Input Construction Scalability Concurrency
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Comparison Results There is no the best technique No one technique is good for everything May be a mix of different approaches can fit more needs?
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UniTesK Technology Model-based testing technology Developed in 2000 – 2002 in ISP RAS
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UniTesK Solutions Contract specifications of behavior FSM and LTS testing models
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Contract Specifications Preconditions and postconditions of interface operations and asynchronous reactions Data integrity constraints Close to requirements Suitable for oracle generation Provide low-level coverage criteria Functional Requirements Contract Specifications
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FSM and LTS Testing Models Define states and admissible input actions More abstract than original specifications Guarantee some low-level coverage Suitable for test sequence construction Provide high-level coverage criteria Contract Specifications ! Coverage Requirements ? ! ? ! ! ? ? ?
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Relation between Models states parametersoperation domain 1 2 3 coverage goals
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Whole Picture I Software under Test Model of Behavior Testing Model Coverage Model Test Oracle Test Sequence Construction
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Whole Picture II Software under TestModel of BehaviorTesting Model Coverage Model Operation Data Event Operation prepost prepost Event prepost invariants Data model Operation State Calculation Scenario method
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Tool Demo
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Set of Integers – Scenario I 0 12 31 2 7 5 States of behavior model 3 5 States of FSM model
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Mapping Abstract Call to Specific 1 2 3 current state parameters states
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Set of Integers – Scenario II 0 12 31 2 7 5 States of FSM model = States of behavior model
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Failure { -2147483648, 2147483647 } Add ( -715827883 ) / false
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References 1. V. Kuliamin, A. Petrenko, N. Pakoulin, I. Bourdonov, and A. Kossatchev. Integration of Functional and Timed Testing of Real-time and Concurrent Systems. Proc. of PSI 2003. LNCS, Springer-Verlag, 2003. 2. V. Kuliamin, A. Petrenko, I. Bourdonov, and A. Kossatchev. UniTesK Test Suite Architecture. Proc. of FME 2002. LNCS 2391, pp. 77-88, Springer-Verlag, 2002. 3. A. K. Petrenko, I. B. Bourdonov, A. S. Kossatchev, V. V. Kuliamin. Experiences in using testing tools and technology in real-life applications. Proceedings of SETT’01, India, Pune, 2001 4. I. B. Bourdonov, A. S. Kossatchev, V. V. Kuliamin. Using Finite State Machines in Program Testing. "Programmirovanije", 2000, No. 2 (in Russian). Programming and Computer Software, Vol. 26, No. 2, 2000, pp. 61-73 (English version) 5. I. Bourdonov, A. Kossatchev, A. Petrenko, and D. Galter. KVEST: Automated Generation of Test Suites from Formal Specifications. Proceedings of World Congress of Formal Methods, Toulouse, France, LNCS, No. 1708, 1999, pp. 608- 621 6. http://www.ispras.ru/groups/rv/rv.html http://www.ispras.ru/groups/rv/rv.html
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Contact Victor V. Kuliamin E-mail: kuliamin@ispras.ru 109004, B. Kommunisticheskaya, 25 Moscow, Russia Web: http://www.ispras.ru/groups/rv/rv.html Phone: 007-095-9125317 Fax: 007-095-9121524
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Thank you!
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