Test Selection Based on Finite State Models
IEEE Transactions on Software Engineering
Dominators, super blocks, and program coverage
POPL '94 Proceedings of the 21st ACM SIGPLAN-SIGACT symposium on Principles of programming languages
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Software—Practice & Experience
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Testing Finite-State Machines: State Identification and Verification
IEEE Transactions on Computers
Software Testing Based on SDL Specifications with Save
IEEE Transactions on Software Engineering
Test derivation for SDL based on ACTs
FORTE '92 Proceedings of the IFIP TC6/WG6.1 Fifth International Conference on Formal Description Techniques for Distributed Systems and Communication Protocols: Formal Description Techniques, V
Coverage testing software architectural design in SDL
Computer Networks: The International Journal of Computer and Telecommunications Networking - ITU-T system design languages (SDL)
Testing Software Design Modeled by Finite-State Machines
IEEE Transactions on Software Engineering
Conformance tests as checking experiments for partial nondeterministic FSM
FATES'05 Proceedings of the 5th international conference on Formal Approaches to Software Testing
Test generation based on control and data dependencies within system specifications in SDL
Computer Communications
Information and Software Technology
Validation of SDL-based architectural design models using communication-based coverage criteria
Information and Software Technology
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Existing methods for testing an SDL specification mainly allow for either black box simulation or conformance testing to verify that the behavior of an implementation matches its corresponding model. However, this relies on the potentially hazardous assumption that the model is completely correct. We propose a test generation method that can accomplish conformance verification as well as coverage criteria-driven white box testing of the specification itself. We first reformat a set of EFSMs equivalent to the processes in an SDL specification and identify ''hot spots'' - nodes or edges in the EFSM which should be prioritized during testing to effectively increase coverage. Then, we generate test sequences intended to cover selected hot spots; we address the possible infeasibility of such a test sequence by allowing for its rejection decided by a constraint solver and re-generation of an alternate test sequence to the hot spot. In this paper, we present our test generation method and tool, and provide case studies on five SDL processes demonstrating the effectiveness of our coverage-based test sequence selection.