2000
DOI: 10.1007/978-0-387-35516-0_14
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Formal Test Automation: The Conference Protocol with TGV/TorX

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Cited by 21 publications
(20 citation statements)
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“…For an empirical evaluation we applied structural and fault-based test purpose design to the specification of an entity of the Session Initiation Protocol (SIP), namely the SIP Registrar. We executed the generated test cases against a commercial implementation and against OpenSER 3 , an open source SIP Registrar.…”
Section: Marking Strategiesmentioning
confidence: 99%
See 1 more Smart Citation
“…For an empirical evaluation we applied structural and fault-based test purpose design to the specification of an entity of the Session Initiation Protocol (SIP), namely the SIP Registrar. We executed the generated test cases against a commercial implementation and against OpenSER 3 , an open source SIP Registrar.…”
Section: Marking Strategiesmentioning
confidence: 99%
“…For example, the authors of [3] used tgv for test generation and TorX for test execution. Tests were generated by the use of manually-designed test purposes and by the use of randomly-generated test purposes.…”
Section: Related Researchmentioning
confidence: 99%
“…The test scenarios in [2] are derived from multiple specification languages (namely, LOTOS, Promela and SDL) and then on-the-fly and batch tested with TorX. [4] investigates combinations of TGV for abstract test generation and TorX for test execution. [11] brings the case study of the Conference protocol with Phact (Philips Automated Conformance Tester).…”
Section: A Related Workmentioning
confidence: 99%
“…Bousquet et al [6] applied Mutation Testing in the conformance testing. In their experiment, the criterion is used to verify if the implementation of a conference protocol is according to its specification.…”
Section: Related Workmentioning
confidence: 99%
“…Mutation Testing is a criterion initially proposed to program testing but some works have shown this criterion can also be applied to specification testing and conformance testing [6,15,16,17,18,20,25,26,29]. Mutation Testing consists of generating mutants of the program/specification, based on a mutant operator set that intents to model common, typical errors made during the development.…”
Section: Introductionmentioning
confidence: 99%