An approach to generate software reliability testing data generation based on UML models

To overcome the problems about testing data generation of the real-time control systems and reliability testing cases of softwares, in this study an approach based on the mixture of operation profile and Markov chain which generates reliability testing cases will be overviewed. This approach describes software operation profile using the use cases of UML and establishes the use model based on UML model for automatically deriving the testing model from the use model, and also generates a reliability testing case set based on the testing model. And by eliciting input and output variables and abstracting testing input and output classes, this technique generates testing input data of reliability testing semi-automatically.As well as using integration to mix the operation profile and Markov chain to generate a set of reliability test cases, the integration can also be used to present a technique to mix the UML collaboration and statechart diagrams and enhance testing of interactions among modal classes. The result of this integration is an intermediate test model called SCOTEM(State COllaboration TEst Model). By using the SCOTEM and also some defined various coverage criteria, valid test paths can be generated. In order to assess the technique a tool is developed to investigate the fault detection capability in a selected case. The presented technique effectively detects all the seeded integration faults

An approach to generate software reliability testing data generation based on UML models Keywords:

automated testing , data generation , Markov chain , Object-oriented systems , operation profile , reliability , software testing , UML based testing