Towards a UML Profile for Data Intensive Applications

Data intensive applications that leverage Big Data technologies are rapidly gaining market trend. However, their design and quality assurance are far from satisfying software engineers needs. In fact, a CapGemini research shows that only 13% of organizations have achieved full-scale production for their Big Data implementations. We aim at addressing an early design and a quality evaluation of data intensive applications, being our goal to help software engineers on assessing quality metrics, such as the response time of the application. We address this goal by means of a quality analysis tool-chain. At the core of the tool, we are developing a Profile that converts the Unified Modeling Language into a domain specific modeling language for quality evaluation of data intensive applications

A Modeling Approach based on UML/MARTE for GPU Architecture

Nowadays, the High Performance Computing is part of the context of embedded systems. Graphics Processing Units (GPUs) are more and more used in acceleration of the most part of algorithms and applications. Over the past years, not many efforts have been done to describe abstractions of applications in relation to their target architectures. Thus, when developers need to associate applications and GPUs, for example, they find difficulty and prefer using API for these architectures. This paper presents a metamodel extension for MARTE profile and a model for GPU architectures. The main goal is to specify the task and data allocation in the memory hierarchy of these architectures. The results show that this approach will help to generate code for GPUs based on model transformations using Model Driven Engineering (MDE).Comment: Symposium en Architectures nouvelles de machines (SympA'14) (2011

Proposing a secure component-based-application logic and system’s integration testing approach

Software engineering moved from traditional methods of software enterprise applications to com-ponent based development for distributed system’s applications. This new era has grown up forlast few years, with component-based methods, for design and rapid development of systems, butfact is that , deployment of all secure software features of technology into practical e-commercedistributed systems are higher rated target for intruders. Although most of research has been con-ducted on web application services that use a large share of the present software, but on the otherside Component Based Software in the middle tier ,which rapidly develops application logic, alsoopen security breaching opportunities .This research paper focus on a burning issue for researchersand scientists ,a weakest link in component based distributed system, logical attacks, that cannotbe detected with any intrusion detection system within the middle tier e-commerce distributed ap-plications. We proposed An Approach of Secure Designing application logic for distributed system,while dealing with logically vulnerability issue

Expressing Measurement Uncertainty in OCL/UML Datatypes

Uncertainty is an inherent property of any measure or estimation performed in any physical setting, and therefore it needs to be considered when modeling systems that manage real data. Although several modeling languages permit the representation of measurement uncertainty for describing certain system attributes, these aspects are not normally incorporated into their type systems. Thus, operating with uncertain values and propagating uncertainty are normally cumbersome processes, di cult to achieve at the model level. This paper proposes an extension of OCL and UML datatypes to incorporate data uncertainty coming from physical measurements or user estimations into the models, along with the set of operations de ned for the values of these types.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Model Driven Engineering Benefits for High Level Synthesis

This report presents the benefits of using the Model Driven Engineering (MDE) methodology to solve major difficulties encountered by usual high level synthesis (HLS) flows. These advantages are highlighted in a design space exploration environment we propose. MDE is the skeleton of our HLS flow dedicated to intensive signal processing to demonstrate the expected benefits of these software technologies extended to hardware design. Both users and designers of the design flow benefit from the MDE methodology, participating to a concrete and effective advancement in the high level synthesis research domain. The flow is automatized from UML specifications to VHDL code generation and has been successfully evaluated for the conception of a video processing application