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۱An approach to generate software reliability testing data generation based on UML models
نویسنده(ها): ،
اطلاعات انتشار: پنجمین کنفرانس بین المللی پیشرفتهای علوم و تکنولوژی، سال
تعداد صفحات: ۱۰
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<\div>

۲SOA Adaptation using Fuzzy Theory in Context–Aware Mobile Computing Model
نویسنده(ها): ، ،
اطلاعات انتشار: کنفرانس بین المللی علوم و مهندسی، سال
تعداد صفحات: ۷
Service Based Applications (SBA) running in incongruous environments are subjects to varying constraints that can lead to fluctuations in the quality of the application, alternatively it is desirable to count on autonomic mechanisms to guide the adaptation of SBA according to changes in the computing infrastructure. Note that it is possible to have a set of different adaptation strategies applicable in the same situation. Context–aware mobile computing model is designed to automatically adapt its behavior to current contextual requirements and choose the best adaptation strategy according to the system requirements. This model provides all functionalities of MAPE–K model and uses Fuzzy theory in both analysis and plan phases to characterize adaptation necessity and choose best adaptation strategy in accordance with fundamental criteria.)<\div>
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