Section: New Results
Our advances in Model-Based Testing (MBT) are related to extending the MBT approach to the Web Services validation. They also involve test generation from scenarios using symbolic animation of model, and test generation using formal properties. Experience of team in MBT and practice is developed in book  published this year.
Test Generation from Behavioral Models
We have introduced an original model-based testing approach that takes a UML behavioural view of the system under test and automatically generates test cases and executable test scripts according to model coverage criteria. We also proposed a solution on the basis of this work to treatbusiness process testing  . In parallel, we are working on the improvement of the test generation technique, by combining constraint solving and theorem proving, in order to detect inconsistencies in the behaviors extracted from the model, and to find a relevant instantiation of the initial test data  .
Test Generation from Scenarios
In the context of the RNTL POSE project(http://www.rntl-pose.info ), the team has developed and experimented a language describing test scenarios. Basically, a scenario is a regular expression describing sequences of operations calls (without specifying their possible parameters) along with intermediate states that have to be reached. Each scenario is unfolded and played using a symbolic animation engine, that instantiates the sequence. This approach has been experimented on the IAS case study of Gemalto, and also applied on a model of the POSIX standard. The process has been implemented within a tool named jSynoPSys  . Our current investigations, starting in the TASCCC project (ANR 2009) will focus on the automated generation of test scenarios from a dedicated set of property patterns.
In addition, we have defined conformance relationships dedicated to establishing a verdict when testing the correct implementation of security policies (namely access control policies) in smart cards applications. These conformance relationships are variants of input-output conformance and are based on the inclusion of traces of the implementation w.r.t. traces computed on a security-dedicated model, involving possible mappings between the values of these two levels.
Also, we use scenario information to compute an abstraction of model. This abstraction can be use in two ways. The first is a referential coverage for test sequences. The second is to compute test sequences itself.
We are also beginning experiments on the combination of random- and model-based testing. A first attempt has been done to automatically produce LTL formula using uniform random test generation. More recently, an approach has considered the automated generation of automata in order to evaluate various FSM-based test generation algorithms. A major result is the highlighting of an error in a widely-spread implementation of the chinese postman algorithm. We also proposed a test generation technique, driven by a final number of test cases, and combining random testing and model-based testing. It consists in arbitrarily augmenting a FSM in order to reach a given number of test cases when selected FSM-based test generation algorithms are applied. A realistic experiment has illustrated the efficiency of this approach. These works are summarized in  .