A Process Model and Classification Scheme for Semi-Automatic Meta-Model Evolution
نویسندگان
چکیده
Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. As a consequence, dealing with evolving meta-models and the necessary migration activities of instances of this meta-model is becoming increasingly important. Approaches from database schema migration tackle a similar problem, but cannot be adapted easily to MDSD. This paper presents work towards a solution in the model-driven domain. Firstly, we introduce a process model, which defines the necessary steps to migrate model instances upon an evolving meta-model. Secondly, we have created an initial classification of metamodel changes in EMF/Ecore utilised by our process model.
منابع مشابه
Dimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...
متن کاملIdentification and classification of the business model elements influencing on trading strategy in startup business with a meta-synthesis approach
Nowadays, new opportunities for business development have been created on the internet, which have shaped different business concepts. In addition, the number of e-businesses has increased recently but in many cases, they have faced great challenges for development and survival. These challenges are mainly reduced by having a proper plan for the business model (BM). Despite the extensive studie...
متن کاملUnconditionally Stable Difference Scheme for the Numerical Solution of Nonlinear Rosenau-KdV Equation
In this paper we investigate a nonlinear evolution model described by the Rosenau-KdV equation. We propose a three-level average implicit finite difference scheme for its numerical solutions and prove that this scheme is stable and convergent in the order of O(τ2 + h2). Furthermore we show the existence and uniqueness of numerical solutions. Comparing the numerical results with other methods in...
متن کاملDeveloping a New Method in Object Based Classification to Updating Large Scale Maps with Emphasis on Building Feature
According to the cities expansion, updating urban maps for urban planning is important and its effectiveness is depend on the information extraction / change detection accuracy. Information extraction methods are divided into two groups, including Pixel-Based (PB) and Object-Based (OB). OB analysis has overcome the limitations of PB analysis (producing salt-pepper results and features with hole...
متن کاملAn enhanced reliability-oriented workforce planning model for process industry using combined fuzzy goal programming and differential evolution approach
This paper draws on the “human reliability” concept as a structure for gaining insight into the maintenance workforce assessment in a process industry. Human reliability hinges on developing the reliability of humans to a threshold that guides the maintenance workforce to execute accurate decisions within the limits of resources and time allocations. This concept offers a worthwhile point of de...
متن کامل