Towards Open Graphical Tool-Building Framework

Towards Open Graphical Tool-Building Framework Nowadays, there are many frameworks for developing domain-specific tools. However, if we want to create a really sophisticated tool with specific functionality requirements, it is not always an easy task to do. Although tool-building platforms offer some means for extending the tool functionality and accessing it from external applications, it usually requires a deep understanding of various technical implementation details. In this paper we try to go one step closer to a really open graphical tool-building framework that would allow both to change the behavior of the tool and to access the tool from the outside easily. We start by defining a specialization of metamodels which is a great and powerful facility itself. Then we go on and show how this can be applied in the field of graphical domain-specific tool building. The approach is demonstrated on an example of a subset of UML activity diagrams. The benefits of the approach are also clearly indicated. These include a natural and intuitive definition of tools, a strict logic/presentation separation and the openness for extensions as well as for external applications.

An Integrated Approach to Product Delivery Planning and Scheduling

An Integrated Approach to Product Delivery Planning and SchedulingProduct delivery planning and scheduling is a task of high priority in transport logistics. In distribution centres this task is related to deliveries of various types of goods in predefined time windows. In real-life applications the problem has different stochastic performance criteria and conditions. Optimisation of schedules itself is time consuming and requires an expert knowledge. In this paper an integrated approach to product delivery planning and scheduling is proposed. It is based on a cluster analysis of demand data of stores to identify typical dynamic demand patterns and product delivery tactical plans, and simulation optimisation to find optimal parameters of transportation or vehicle schedules. Here, a cluster analysis of the demand data by using the K-means clustering algorithm and silhouette plots mean values is performed, and an NBTree-based classification model is built. In order to find an optimal grouping of stores into regions based on their geographical locations and the total demand uniformly distributed over regions, a multiobjective optimisation problem is formulated and solved with the NSGA II algorithm.

Matrix Neuro-Fuzzy Self-Organizing Clustering Network

Matrix Neuro-Fuzzy Self-Organizing Clustering NetworkIn this article the problem of clustering massive data sets, which are represented in the matrix form, is considered. The article represents the 2-D self-organizing Kohonen map and its self-learning algorithms based on the winner-take-all (WTA) and winner-take-more (WTM) rules with Gaussian and Epanechnikov functions as the fuzzy membership functions, and without the winner. The fuzzy inference for processing data with overlapping classes in a neural network is introduced. It allows one to estimate membership levels for every sample to every class. This network is the generalization of a vector neuro- and neuro-fuzzy Kohonen network and allows for data processing as they are fed in the on-line mode.

Competence Orientation in Business Informatics International Master Program

Competence Orientation in Business Informatics International Master ProgramThe need for competence-based approach in professional and educational standards is required by modern economy. Development and improvement of systems of different competences provides a link between education and training and labor market. The discussion on the current state and prospects of development of joint master's program in Business Informatics is being held. Hereby there is a suggestion on competencies description for the Business Informatics Curriculum based on descriptors. To realize the competence oriented model for masters' program it is suggested to mark out educational concepts through the type of courses in each discipline.

Interactive Inductive Learning: Application in Domain of Education

Interactive Inductive Learning: Application in Domain of Education globalization presents an opportunity to obtain education from several education providers by using different study exchange programmes. This possibility, in turn, creates the need to compare available study courses in foreign institutions to courses on the curriculum of the institution which issues the degree. Manual course comparision is time consuming and requires involvment of highly skilled experts. Otherwise, the comparison may result in a superficial intuitive judgement and, consequently, course incompatibility problems. Interactive inductive learning supported by enterprise modelling is proposed as a supporting mechanism which can help to save the time an effort in study course comparison.

Design of Decision Service Using Cause-and-Effect Business Process Analysis

Design of Decision Service Using Cause-and-Effect Business Process AnalysisBusiness processes are executed according to a specific business logic that can be formulated as business rules. Often decisions are taken during the course of the process to fulfill conditions or exceptions leading to process variations. These decisions are meant to support business process operations and are composed of a set of business rules, additionally being based on a solid process relevant knowledge and know-how. These processes are here referred to as decision knowledge intensive processes. In this paper the question of how business rules and consequently operational decisions can be derived from the business process model is addressed. The therefore necessary business process analysis and decision identification are performed using the cause-and-effect approach. Service-oriented implementation of the found decisions is suggested and outlined.

Problems and Perspectives of Code Generation from UML Class Diagram

Problems and Perspectives of Code Generation from UML Class Diagram As a result of increasing technological diversity, more attention is being focused on model driven architecture (MDA), and its standard - Unified Modeling Language (UML). UML class diagrams require correct diagram notation mapping to target programming language syntax under the framework of MDA. Currently there are plenty of CASE tools which claim that they are able to generate the source code from UML models. Therefore by combining the knowledge of a programming language, syntax rules and UML class diagram notation semantic, an experimental model for stressing the code generator can be produced, thus allowing comparison of quality of the transformation result. This paper describes a creation of such experimental models.