Evaluation of MDE Tools from a Metamodeling Perspective

Saraiva, João Paulo; Silva, Alberto Rodrigues da

doi:10.4018/jdm.2008100102

Cited by 10 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MDE relies on the OMG four-leveled modeling architecture (Atkinson & Kühne, 2003;Saraiva, 2008). A system is developed by refining models, starting from higher and moving to lower levels of abstraction until code is generated.…”

Section: Modeling Architecture For Qos Management Solutionsmentioning

confidence: 99%

See 1 more Smart Citation

Model Driven Engineering for Quality of Service Management

M'barek

Baccouche

Ghezala

2016

Journal of Database Management

View full text Add to dashboard Cite

Real-time applications managing a large number of real-time data require the use of Real-time Database Management Systems (RTDBMS) to meet temporal constraints of both real-time data and transactions. However, a RTDBMS has a dynamic workload and may be frequently overloaded since the arrival times and workloads of user transactions are unpredictable. Therefore, Quality of Service management solutions have been proposed to guarantee the stability of RTDBMS even during unpredictable overload periods. While effective, the design and reuse of these solutions is challenging because they are not formally modeled and there is no tool neither a methodology that helps us design such solutions. To address these issues, the authors propose a design framework based on the Model-Driven Engineering approach providing a modeling architecture, a strategic methodology and a software tool to support modeling and reusing such solutions. The framework is implemented and tested for a real Qos management solution.

show abstract

Section: Modeling Architecture For Qos Management Solutionsmentioning

confidence: 99%

“…It integrates the Ecore metamodeling language and provides a graphical display of Ecore metamodels. There are several tools and frameworks developed on top of EMF which are popular, relatively easy to use and maintain presented in (Saraiva & Da Silva, 2008).…”

Section: Model-driven Design Environment For Qmamentioning

confidence: 99%

Model Driven Engineering for Quality of Service Management

M'barek

Baccouche

Ghezala

2016

Journal of Database Management

View full text Add to dashboard Cite

show abstract

“…We propose that one of the criteria to classify a DSML as a complex one is that with it models can be built that consist of a hierarchy of diagrams, which are instances of more than one diagram type. In general, the examples of DSMLs that are usually shown in the literature about metamodeling tools are usually simple, real-life languages (e.g., a language for the domain of elevator controllers [29], a simplified Goal-oriented Requirement Language [42], and a language for risk analysis [43]) or artificial toy languages (e.g., a Simple Component-connector Language [44], a language for social networks [45], and the J2EE configuration language [46]). With such languages most metamodeling tools are sufficient during the task of model-editor generation.…”

Section: Lessons Learnedmentioning

confidence: 99%

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

Godena

Lukman

Heričko

et al. 2015

ITC

View full text Add to dashboard Cite

Model-driven engineering (MDE) is a software-engineering paradigm that is being introduced into a growing number of domains. One of the most important success factors for a new MDE approach is the availability of the appropriate tool support for it. Although the literature discusses the development of support tools, only a few reports and analyses are available about the development of tool support for real-life modeling languages and MDE approaches. The goal of this paper is to fill this gap through an experience report about developing a tool-suite prototype for an MDE approach for the process control domain that is capable of supporting the development of real-life process control software. Before the work presented in this paper an initial prototype tool suite was already developed. However, it was not able to adequately support industry-scale projects. The paper starts with an analysis of the past development of this already-existing laboratory prototype and then moves on to a report about the development of the industrial prototype, which is influenced by the findings of the analysis. Then a comparison between the two prototypes is made and the lessons learned are described, which may be useful to practitioners who attempt to develop support tools for an MDE approach that are useful in practice. The most important lesson learned is that when developing tool support for complex modeling languages, the traditional development approach should not be easily rejected.

show abstract

“…All the modelling frameworks and model transformations with regard to our solution have been implemented in the Eclipse 3 development platform, since a key factor for the success of any MDE or MDA approach is an appropriate tool support (Saraiva & Silva, 2008).…”

Section: Development Platform and Implementationmentioning

confidence: 99%

An MDA Approach and QVT Transformations for the Integrated Development of Goal-Oriented Data Warehouses and Data Marts

Trujillo

Pardillo

Mazón

2011

Journal of Database Management

View full text Add to dashboard Cite

To customize a data warehouse, many organizations develop concrete data marts focused on a particular department or business process. However, the integrated development of these data marts is an open problem for many organizations due to the technical and organizational challenges involved during the design of these repositories as a complete solution. In this article, the authors present a design approach that employs user requirements to build both corporate data warehouses and data marts in an integrated manner. The approach links information requirements to specific data marts elicited by using goal-oriented requirement engineering, which are automatically translated into the implementation of corresponding data repositories by means of model-driven engineering techniques. The authors provide two UML profiles that integrate the design of both data warehouses and data marts and a set of QVT transformations with which to automate this process. The advantage of this approach is that user requirements are captured from the early development stages of a data-warehousing project to automatically translate them into the entire data-warehousing platform, considering the different data marts. Finally, the authors provide screenshots of the CASE tools that support the approach, and a case study to show its benefits.

show abstract

Evaluation of MDE Tools from a Metamodeling Perspective

Cited by 10 publications

References 16 publications

Model Driven Engineering for Quality of Service Management

Model Driven Engineering for Quality of Service Management

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

An MDA Approach and QVT Transformations for the Integrated Development of Goal-Oriented Data Warehouses and Data Marts

Contact Info

Product

Resources

About