Patrizia Poščić

A Comparison and the Desireable Features of Version Control Tools

The software development team is regularly faced with two major problems: access to previous software versions and simultaneous work of many programmers on the same source code at the same time. Some development teams solve these problems by using version control tools, while others opt for manual version control. This paper analyzes both approaches and compares them according to certain criteria.

Model of a system for team software development

The paper describes a program support system for team development in a computer network environment. Existing program solutions already on the market are encapsulated and are not adapted to the needs of users working in an application development team. The objective is to develop a model of the system supporting a network application development. Along with the features providing application development in a network environment, the project solution includes facilities for producing various reports, automatic backup and version control

Big Data in Data Warehouses

The amount of data grows every day. Along with that, new challenges and needs appear. We wonder how to collect and process this enormous amount of data and to get the information we need for business management. Tools and technologies for that task should be scalable, distributed and with high bandwidth so we can quickly get to the information we want. As a solution impose NoSQL databases. But databases without a high quality system for processing and analysis of data are not very helpful. Some solutions that have started to address these problems appeared, but there is still room for development. Some of these solutions are Apache Hadoop and Hive, which are used every day in big companies like Facebook and Google. This paper provides insight into existing technologies that implement such solutions, which have their advantages and disadvantages, and we will try to predict how this story will develop in the future.

Academic dishonesty in a partially online environment: a survey

In the academic community, there is a concern that with the implementation of online education (e-learning) the level of academically dishonest behavior will grow higher and faster than before. This paper presents a study on the presence of academic dishonesty in traditional (live, face-to-face) and partially online courses. The study was conducted at the Department of Informatics, University of Rijeka over a sample of 133 undergraduate and graduate students. The main contributions of this paper are its results by which we could determine: a) the extent to which students are cheating in both types of classes, and b) if a higher level of academic dishonesty is present in traditional or partially online courses.

The analysis and overview of semantic image interpretation

Currently, the main challenge of CBIR is bridging the so-called semantic gap. A question emerges whether visual similarity is reliable for grading semantic similarity and how complex the problem of semantic interpretation of an image really is? Using the UML class diagram, a model for semantic interpretation of general images is presented. A general model for still images of outdoor and indoor scenes is defined, independent of domain the image belongs to and the objects it contains. Analysis and visual presentation of key model elements aid in observing the problem in whole and simplify the process of finding new solutions.

Data warehouse architecture classification

The purpose of this study is to give an overlook and comparison of best known data warehouse architectures. Single-layer, two-layer, and three-layer architectures are structure-oriented one that are depending on the number of layers used by the architecture. In independent data marts architecture, bus, hub-and-spoke, centralized and distributed architectures, the main layers are differently combined. Listed data warehouse architectures are compared based on organizational structures, with its similarities and differences. The second comparison gives a look into information quality (consistency, completeness, accuracy) and system quality (integration, flexibility, scalability). Bus, hub-and-spoke and centralized data warehouse architectures got the highest scores in information and system quality assessment.

Integrating evolving MDM and EDW systems by data vault based system catalog

The paper presents results of a research on integration of enterprise data warehouse (EDW) and a master data management (MDM) system. The primary goal was solving a schema evolution problem, and the corner stone of our approach was utilization of a data vault modeling of an integrated meta-model of EDW and MDM as an expansion of a traditional relational database system catalog. The main contributions of this paper are: a) common integration architecture, b) new system catalog based on a meta-model for DW and MDM integration, and c) research prototype used for empirical validation of the effectiveness of the proposed solution.

Comparative analysis of the selected relational database management systems

The database management system is a software that enables easier work with databases i.e. to define database structure, retrieve stored data, enter data into the database and process the previously stored data in the database. In this article we have compared 3 relational database management systems (RDBMS) - Oracle 11g, MySQL and PostgreSQL. They are compared according to the simple criteria that we defined, such as the comparison of basic data, syntax, data types and speed performance. The main contribution of the article is a comparison of 3 different RDBMSs by our own score criteria.

Method for estimating the complexity of a business information system based on operations in software solution

The aim of this paper is to define and prove the accuracy of the method which can, based on the number of input and output data on the basic functions of the user interface of software solution, measure the complexity of a software product to estimate the complexity of the information system. We analysed the elements of the process model and software solution, demonstrated the relationship between them, and defined the rules for mapping functions from the user interface of software solution into concepts of the process model. A method called process complexity (PC) is defined, which is based on counting data on the basic functions of the user interface of software solution. The method was tested on software solutions of 23 subsystems. To check the accuracy of the PC method, all systems/subsystems are also measured by using control methods data on documents (DOD) and the database complexity (DC).

Estimation of the Size of Business Sectors Covered by ERP Solutions

The paper describes a method for estimation of the size of business sectors covered by ERP solutions. It presents a short overview of existing methods for measuring the size of business sectors and software in general, including the ERP solution as its special type. A list of business sectors which are supported by ERP solutions is given. The described method for the estimation of size was applied over this business sectors list. Then, an estimation of the number of common elements which are part of the structure of the observed business sectors was performed. Based on the estimated number of common elements and estimated size of business sectors, the relationship between common and specific elements in the size of business sectors supported by ERP solutions was calculated.