We present a strategy for the automatic generation of test cases from parametrised use case templates that capture control flow, state, input and output. Our approach allows test scenario selection based on particular traces or states of the model. The templates are internally represented as CSP processes with explicit input and output alphabets, and test generation is expressed as counter-examples of refinement checking, mechanised using the FDR tool. Soundness is addressed through an input–output conformance relation formally defined in the CSP traces model. This purely process algebraic characterisation of testing has some potential advantages, mainly an easy automation of conformance verification and test case generation via model checking, without the need to develop any explicit algorithm.

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Abstract. This paper contributes to a testing theory, based on the CSP process algebra, whose conformance relation (cspio) distinguishes input and output events. Although cspio has been defined in terms of the standard CSP traces model, we show that our theory can be immediately extended to address deadlock, outputlock and livelock situations if a special output event is used to represent quiescence. This is formally established by showing that this broader view of cspio is equivalent to Tretmans' ioco relation. Furthermore, we address compositional conformance verification, establishing compositionality properties for cspio with respect to process composition operators. Our testing theory has been adopted in an industrial context involving a collaboration with Motorola, whose focus is on the testing of mobile applications. Some examples are presented to illustrate the overall approach.

SUMMARYThis paper mechanises conformance verification in the setting of the CSP process algebra. The verification strategy is captured by a theorem stated as a process refinement expression, which can be verified by a model checker such as FDR. The conformance relation, cspio, distinguishes input and output events. The process algebraic framework of CSP is used to address compositional conformance verification by establishing compositionality properties for cspio with respect to the CSP operators. Although cspio has been defined in the standard CSP traces model, one can address quiescence situations using a special output event, in which case it is formally established that cspio is equivalent to Tretmans ioco. All the results have been mechanically proved using the CSP‐Prover. The proposed testing theory has been adopted in an industrial context involving collaboration with Motorola, on testing mobile applications. Several examples and a case study are presented to illustrate the overall approach. Copyright © 2013 John Wiley & Sons, Ltd.

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Abstract-CSP is well established as a process algebra for refinement. Most refinement relations for CSP do not differentiate between inputs and outputs, and so are unsuitable for testing. This paper provides CSP with a denotational semantics based on suspension traces; it gives the traditional CSP operators a novel view, catering for the differences between inputs and outputs. We identify healthiness conditions for the suspension-traces model and include a treatment of termination not contemplated in the context of input-output labelled transition systems. Using our suspension-traces semantics, we provide for CSP a characterisation of the conformance relation ioco, which is widely used in testing. Finally, we propose a strategy to mechanise the verification of conformance according to ioco and suspensiontrace refinement using CSP tools. This work provides the basis for a theory of testing for CSP with inputs and outputs, and opens up the possibility of studying algebraic laws and compositional reasoning techniques based on ioco. Ultimately, it contributes to making CSP models useful for both design and testing of systems.

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