Multiple Domain-specific Languages Research Articles

Unification of working with domain-specific languages and open software architecture in an adaptive Modeling system

The problem of building complex models, which often combine several domains, is considered. To solve this problem, it is proposed to use domain-specific languages, each of which describes a particular subject area and should be intuitively understood by specialists in this area. Framework, thus solving the problem of modeling is called adaptive modeling system. However, this solution introduces a new complexity: multiple domain-specific languages are difficult to maintain. A method for unification of support for domainspecific languages is proposed, and the need to use an open software architecture, which is a mandatory addition to the proposed means of unification of working with languages, is explained. A brief classification of the components of an open software architecture is given. The aim of the work is to describe ideas and methods for unifying support for domain-specific languages, as well as to explain the need to implement an open software architecture for an adaptive simulation system. The proposed method of unification to support domain-specific languages, as well as open software architecture will build adaptive modeling system that can be expanded not only the language of the different subject areas, but also the architectural components and modules necessary for the solution of problems of complex modeling. The proposed method for unifying support for domain-specific languages, as well as an open software architecture, will make it possible to build an adaptive modeling system that allows you to effectively describe and calculate complex models.

Evaluation of a Model-driven Knowledge Storage and Retrieval IDE for Interactive HRI Systems

Efficient storage and querying of long-term human–robot interaction data requires application developers to have an in-depth understanding of the involved domains. Creating syntactically and semantically correct queries in the development process is an error prone task which can immensely impact the interaction experience of humans with robots and artificial agents. To address this issue, we present and evaluate a model-driven software development approach to create a long-term storage system to be used in highly interactive HRI scenarios. We created multiple domain-specific languages that allow us to model the domain and seamlessly embed its concepts into a query language. Along with corresponding model-to-model and model-to-text transformations, we generate a fully integrated workbench facilitating data storage and retrieval. It supports developers in the query design process and allows in-tool query execution without the need to have prior in-depth knowledge of the domain. We evaluated our work in an extensive user study and can show that the generated tool yields multiple advantages compared to the usual query design approach.

Integration of DSLs and Migration of Models: A Case Study in the Cloud Computing Domain

Abstract Domain-specific languages (DSLs) are high-level software languages representing concepts in a particular domain. In real-world scenarios, it is common to adopt multiple DSLs to solve different aspects of a specific problem. As any other software artefact, DSLs evolve independently in response to changing requirements, which leads to two challenges. First, the concepts from the DSLs have to be integrated into a single language. Second, models that conform to an old version of the language have to be migrated to conform to its current version. In this paper, we discuss how we tackled the challenge of integrating the DSLs that comprise the Cloud Application Modelling and Execution Language (CAMEL) by leveraging upon Eclipse Modeling Framework (EMF) and Object Constraint Language (OCL). Moreover, we propose a solution to the challenge of persisting and automatically migrating CAMEL models based on Connected Data Objects (CDO) and Edapt.

SAP HANA database

The SAP HANA database is positioned as the core of the SAP HANA Appliance to support complex business analytical processes in combination with transactionally consistent operational workloads. Within this paper, we outline the basic characteristics of the SAP HANA database, emphasizing the distinctive features that differentiate the SAP HANA database from other classical relational database management systems. On the technical side, the SAP HANA database consists of multiple data processing engines with a distributed query processing environment to provide the full spectrum of data processing -- from classical relational data supporting both row- and column-oriented physical representations in a hybrid engine, to graph and text processing for semi- and unstructured data management within the same system. From a more application-oriented perspective, we outline the specific support provided by the SAP HANA database of multiple domain-specific languages with a built-in set of natively implemented business functions. SQL -- as the lingua franca for relational database systems -- can no longer be considered to meet all requirements of modern applications, which demand the tight interaction with the data management layer. Therefore, the SAP HANA database permits the exchange of application semantics with the underlying data management platform that can be exploited to increase query expressiveness and to reduce the number of individual application-to-database round trips.