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Methodology for test case generation based on sysml specifications : magistrsko delo
Tilen Antonio Čučko, 2022, master's thesis

Abstract: In the rapidly improving system design environment there is a need for automatization of tasks which are manual labor intensive. One of the core principles of systems engineering is verification and validation which is present iteratively throughout the development and on a higher system level at the end. For these verification and validation tasks test cases are used. The goal of this thesis is to extract the required test cases from the already present system models, mainly the test cases from function diagrams which are linear and cannot be extracted through state machine diagrams.
Keywords: systems engineering, verification and validation, SysML, test automatization, test case creation
Published in DKUM: 13.02.2023; Views: 473; Downloads: 0

Implementation of a new reporting process in a group x
Sara Črešnik, 2021, master's thesis

Abstract: Reporting is present in every company. Whether it is small or big, it cannot be avoided. It plays a crucial role in the process and progress of business. The quality of reporting affects the development of the work environment and the company. Since business report is a document that contains business information, which supports the decisions about the future-oriented business decisions, it is very important for it to be designed in such a way that it contains the key information for the recipient and provides support for business decisions. The reporting process can take place horizontally upwards or downwards. Content and structure vary depending on the recipient of the report. We live in an age when our every step is accompanied by digitization, computerization, artificial intelligence, mass data, the Internet of Things, machine learning, and robotics. These changes have also affected the reporting process as well as its processes. The processes of data acquisition, processing and sharing have changed. Furthermore, the data quantity has increased, whereas the speed of the time in which to prepare the reports has decreased. We can have data without information, but we cannot have information without data. There is never enough time, especially nowadays when we are used to having everything at our fingertips. These are two conflicting factors – having more data and less time to prepare quality reports. The systems are developed to optimize the process, increase efficiency and quality and, what is nowadays most important, they have been created to obtain mass data in the shortest possible time. Therefore, it is important to adapt and implement software that can help achieve our daily tasks. We must know how to process huge amounts of real-time data and deliver the information they contain. It is crucial for companies to keep up with the environment and implement changes and innovations into their business process. A company is like a living organism for it must constantly evolve and grow. As soon as it stops growing and evolving, it can fail because it starts lagging and is therefore no longer competitive to others. To deliver faster feedback, companies need data of better quality. There are tools that can improve the business process, better facilitating the capacity of the human agents. The goal is to harness the employees’ full potential and knowledge for important tasks, such as analyzing, reviewing, and understanding data and acting upon them, invoking information technology to automate repetitive processes and facilitate better communication. The focus in this master’s thesis is on the reporting process in Group X. Group X is one of the world leaders in the automotive industry, a multinational corporation based in Canada with subsidiaries around the world. The complexity of the business reporting that is implemented for the Headquarters in Canada has to address the complexity of the multinational corporation to support the decision process. The aim of the thesis is to propose a reporting process for preparing and producing reports with a huge amount of data in a very time-efficient manner. We start by examining the existing processes and upon that, identifying the processes required for the reports to reach the final recipients. Our goal is to identify the toolset, which would increase efficiency, accuracy, credibility, and reduce errors in the fastest possible time. We investigate a short-term and a long-term solution. By a short-term solution, we mean a system, program, or a tool that can help us increase our potential by using digital resources, which are already existing in the organization. By a long-term solution, we mean a solution, which requires employment of specialized future tools in the field of reporting and in repetitive processes, which we can identify with current knowledge and expectations for development. This includes machine learning, robotic process automatization, artificial intelligence.
Keywords: Consolidated reporting, reporting process, robotic process automatization, business intelligence, artificial intelligence, machine learning, SharePoint, Big Data, digital transformation, electronic data interchange.
Published in DKUM: 01.09.2021; Views: 839; Downloads: 3
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Modeling and simulation of wireless radio networks: a case of student seminar work
Žarko Čučej, Karl Benkič, 2009, original scientific article

Abstract: In high education of telecommunication and automatic control, modeling and simulating complex systems of distributed monitoring and control are proven methods how to teach, learn and comprehend their essentials. The complexity oftheir use requires students to integrate knowledge from different courses and thatćs why they fit very well within the individual student project, as part of the seminar work. The importance of modeling and simulation in modern engineering is very well known. Recently, with development of new tool, which incorporates parts of real equipment, for xample telecommunication nodes with preprocessing of acquired data or controllers with integrated communication nodes, modelling and simulation have become not only useful to engineers, evelopersor researches but also very attractive to students. This article presents a case of modeling and simulation of wireless sensors networks using professional simulation tools from OPNET and open-code tools developed by our Ph. D. students.
Keywords: teaching, learning, simulation, telecommunication, automatization
Published in DKUM: 31.05.2012; Views: 1546; Downloads: 42
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