Automatic performance model transformation from UML to C++

We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underlying performance modeling technique. We propose to bridge the gap between the performance modeling and software engineering by incorporating UML. In our approach we aim to permit the graphical specification of performance model in a human-intuitive fashion on one hand, but on the other hand we aim for a machine-efficient model evaluation. The user specifies graphically the performance model using UML. Thereafter, the transformation of the performance model from the human-usable UML representation to the machine-efficient C++ representation is done automatically. We describe our methodology and illustrate it with the automatic transformation of a sample performance modelPeer ReviewedPostprint (published version

Model2Roo: A Model Driven Approach for Web Application Development based on the Eclipse Modeling Framework and Spring Roo

International audienceInherent complexity in web application development is continually increasing due to changes in both functional and non-functional requirements, as well as to technological changes like new programming languages, tools, frameworks and development processes. An adequate management of this complexity is required in order to generate high quality software systems. In this paper, an approach based on model-driven techniques is proposed to guide the development of web applications, by focusing on model abstractions rather than implementation details. In order to do so, we propose a set of model extensions, such as profiles and annotations, to describe both the static structure and a subset of functional and non-functional requirements usually associated to web applications

Automatic performance model transformation from UML to C++

We address the issue of the development of performance models for programs that may be executed on large-scale computing systems. The commonly used approaches apply non-standard notations for model specification and often require that the software engineer has a thorough understanding of the underlying performance modeling technique. We propose to bridge the gap between the performance modeling and software engineering by incorporating UML. In our approach we aim to permit the graphical specification of performance model in a human-intuitive fashion on one hand, but on the other hand we aim for a machine-efficient model evaluation. The user specifies graphically the performance model using UML. Thereafter, the transformation of the performance model from the human-usable UML representation to the machine-efficient C++ representation is done automatically. We describe our methodology and illustrate it with the automatic transformation of a sample performance modelPeer Reviewe