Guntis Arnicans

Concept of virtual machine based high resolution display wall

This paper presents the scalability and hardware dependency problems found in existing solutions in the high resolution display wall domain and proposes a new solution. Authors propose hosting the system that provides the visual content for the display wall inside a virtual machine. In such way any needed configuration of displays and resolutions can be applied to the graphics processing unit simulated by the virtualization system. The frame buffer content of the virtual graphics processing unit is then split, encoded with H.264 and sent over gigabit Ethernet as an RTP stream to the display wall. The display wall is driven by Raspberry Pi embedded devices that receive the stream, decode it and send digital video signal to the displays. This paper describes the construction of a prototype for this architecture and provides preliminary results that prove the potential of this solution.

Transformation of the Software Testing Glossary into a Browsable Concept Map

Authors propose a transformation method of the glossary “Standard glossary of terms used in Software Testing” created by ISTQB document into a basic concept map. By applying natural language processing techniques and analyzing the discovered relations between concepts the most essential aspects of the software testing domain are elicited and integrated. As the result a browsable concept map is created. Browsable concept map can be used as a learning support tool.

Intelligent integration of information from semistructured web data sources on the basis of ontology and meta-models

As computer users face an increasing amount of various semi-structured information sources, the issue of correlating, integration and presenting related information to users becomes all the more important. As a solution, we propose the semi-structured data universal data browser, which, in its operations, makes use of descriptions of data sources that are presented in the form of meta-models or ontologies, ensuring the users ability to use information from the data sources. Information from semi-structured data sources is analyzed, transformed and stored in the semi-structured data universal data browser database, which is based on meta-models. The ontologies of information in each data source are preserved, and they are mutually linked to logical and global ontologies through the use of mapping. As an example, we use the integration of information on Internet homepages about products and their classifications

Heterogeneous database browsing in WWW based on meta model of data sources

This paper describes a development principle and technique for a simple universal multiple database browser. The browser operates by getting information from metamodel of data sources and actual data from legacy data sources. Every element such as entity, field, and relation is mapped to some component of HTML page with appropriate structure and layout. Many templates of information layouts can be created allowing to dynamical changing of HTML page to acceptable user interface. The wrappers are used to provide browser with actual data and to act as mediators between data sources and browser. This approach allows to quickly describing new data sources, creating wrappers, making modifications later and managing data browsing in a simple unified style. The browser architecture is flexible enough to incorporate data sources with a variety of data models and query capabilities by various protocols. It is possible to select logically tied information from all available legacy data sources.

Use of H.264 real-time video encoding to reduce display wall system bandwidth consumption

This paper compares the DXT and JPEG image compression techniques used in display wall solutions SAGE and DisplayCluster with hardware accelerated H.264 video encoding that is used in the display wall system developed by the authors of this paper. The obtained processing power usage and generated bandwidth measurements presented in this paper demonstrate that hardware accelerated H.264 encoding offers multiple benefits over software implemented H.264, DXT and JPEG.

Semantics for Managing Systems in Heterogeneous and Distributed Environment

The problem of legacy systems collaboration is being solved. Particularly we look at the collaboration as workflow in a distributed and heterogeneous environment. Attention is paid to the description of semantics for workflow process definition languages. There are many solutions how semantics can be decomposed into logical fragments, but the problem of obtaining reusable components that are easy to compile into desired specific semantics still remains. We evolve the division of semantics by semantic aspects whose description is based on abstract data types (pre-built components) and connectors (meta-programs to produce the glue code) between them. This paper offers a way in which semantic aspects are linked with the intermediate representation of a program, and performing of semantics is provided. We mix together various semantics aspects to get a desirable semantics.

An Approach for iOS Applications' Testing

The mobile conquers the world. The need in a comprehensive and systemized multiedge testing approach is rising along with mobile apps becoming even more complex. As a leader in enterprise market, Apple iOS has been chosen as a target mobile platform for the study. The authors have investigated aspects that influence functional testing of iOS apps in particular, and mobile – in general. The study also exposes the security capabilities and risks that often are not mitigated in favor of time to market rush. Investigation and clustering of mobile UI test automation tools is performed. The capabilities and limitations of Apple UIAutomation are discovered. Solutions aimed at overcoming the limitations of out of the box UIAutomation are united in tTap framework developed by the authors. In conclusion an ideal cross-platform mobile UI test automation tool is proposed.

Databases and Information Systems

Ontologies are one of the core foundations of the Semantic Web. To participate in Semantic Web projects, domain experts need to be able to understand the ontologies involved. Visual notations can provide an overview of the ontology and help users to understand the connections among entities. However, the users first need to learn the visual notation before they can interpret it correctly. Controlled natural language representation would be readable right away and might be preferred in case of complex axioms, however, the structure of the ontology would remain less apparent. We propose to combine ontology visualizations with contextual ontology verbalizations of selected ontology (diagram) elements, displaying controlled natural language (CNL) explanations of OWL axioms corresponding to the selected visual notation elements. Thus, the domain experts will benefit from both the high-level overview provided by the graphical notation and the detailed textual explanations of particular elements in the diagram.

Conclusions from the Evaluation of Virtual Machine Based High Resolution Display Wall System

There are several approaches to the construction of large scale high resolution display walls depending on the required use case. Some require support of 3D acceleration APIs like OpenGL, some require stereoscopic projection. Others simply require a surface with a very high display resolution. The authors of this paper have developed a virtual machine based high resolution display wall architecture that works for all planar projection use cases and does not require a custom integration. The software that generates the presented content is executed in a virtual machine thus no specific APIs other than those of the virtualized OS are required. Any software that is able to run under a given OS can be run on this display wall architecture without modifications. The authors have performed performance evaluations, virtualization environment comparisons and comparisons among other display wall architectures. All this knowledge along with key conclusions is summarized in this paper.

Heuristic Method to Improve Systematic Collection of Terminology

In this paper, we propose an experimental tool for analysis and graphical representation of glossaries. The original heuristic algorithms and analysis methods incorporated into the tool appeared to be useful to improve the quality of the glossaries. The tool was used for analysis of ISTQB Standard Glossary of Terms Used in Software Testing. There are instances of problems found in ISTQB glossary related to its consistency, completeness, and correctness described in the paper.