Abstract. Automatic prediction tools play a key role in enabling the application of non-functional requirements analysis to selection and assembly of components for Component-Based Systems, reducing the need for strong mathematical skills to software designers. Exploiting the paradigm of Model Driven Engineering (MDE), it is possible to automate transformations from design models to analytical models, enabling for formal property verification. MDE is the core paradigm of KlaperSuite presented in this paper, which exploits the KLAPER pivot language to fill the gap between Design and Analysis of Component-Based Systems for reliability and performance properties. KlaperSuite is a family of tools empowering designers with the ability to capture and analyze QoS views of their systems by building a one-click bridge towards a number of established verification instruments.
Automatic prediction tools play a key role in enabling the application of non-functional requirements analysis, to simplify the selection and the assembly of components for component-based software systems, and in reducing the need for strong mathematical skills for software designers. By exploiting the paradigm of Model-Driven Engineering (MDE), it is possible to automatically transform design models into analytical models, thus enabling formal property verification. MDE is the core paradigm of the KlaperSuite framework presented in this paper, which exploits the KLAPER pivot language to fill the gap between design and analysis of component-based systems for reliability properties. KlaperSuite is a family of tools empowering designers with the ability to capture and analyze QoS views of their systems, by building a one-click bridge towards a number of established verification instruments. In this article we concentrate on the reliability prediction capabilities of KlaperSuite and we evaluate them with respect to several case studies from literature and industry.
Abstract-Model-driven development is gaining importance in software engineering practice. This increasing usage asks for a new generation of testing tools to verify correctness and suitability of model transformations. This paper presents a novel approach to unit testing QVT Operational (QVTO) transformations, which overcomes limitations of currently available tools. Our proposal, called MANTra (Model trANsformation Testing), allows software developers to design test cases directly within the QVTO language and verify them without moving from the transformation environment.
Service choreographies specify the intended interaction protocol among a set of cooperating services at the business application level. For end-users the non-functional properties exposed by a choreographed service composition can be as important as its functional behaviour, if not even more. Therefore, in any choreography development process, the capability of specifying and assessing the established Service Level Agreements (SLAs) becomes a crucial requisite. However, by their very nature, choreography requirements can be quite abstract and may on purpose avoid formalizing non-functional properties for every step of each individual service, nonetheless the overall QoS choreography will be affected by them. In this paper, we propose a monitor enhanced with the capability to detect potential deviations from a choreography-prescribed QoS level, based on the observed non-functional behaviour of the contributing services. Such an apprehensive monitor, as we call it, can thus contribute to predict SLA violations in due time for taking useful counter-measures, and not only detect them after they have occurred. We illustrate the feasibility of the approach on a use-case from the European Project CHOReOS.
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