In the competitive global economy, increasing customer value by improving software product quality is the aim for organizations. Academia and industry are collaboratively striving to find new ways to achieve this goal. The last two decades have seen a mind shift where emphasis is now on improving processes to improve the quality of products. This approach has its roots in the realization that a better development process would lead to a better quality product. Based on this process improvement frameworks were created. These frameworks enable organizations to systematically improve their development processes and strive towards the ultimate goal of improving product quality. However, these initiatives were not always successful. The deriving factors that make the adoption and implementation of such frameworks a success were still unknown. In this regard, several primary studies have been conducted to identify the factors that make software process improvement initiative successful. Researchers have been investigating factors that affect success of Software Process Improvement (SPI). There was still a lack of a secondary study where systematic approach has been used to find factors that affect the success of SPI. In our thesis project we present results of the systematic review to accumulate success factors for SPI. These findings were validated by conducting an industrial survey. With our secondary study we have identified 31 important success factor categories of SPI. We have contributed to the body of knowledge by devising formal definitions for important factors. We have also unveiled the relationship of SPI success factors not only to different SPI framework but also to software process areas.

This thesis deals with design and implementation of laboratory microcontroller system, based on ARM architecture. Purpose of this thesis is to teach programming. This system allows the user to work with the internal and external peripherals of the microcontroller, which are equipped with the system. This thesis includes creating a concept its peripheral solution and realization itself. A suitable development environment is determined for the system and the thesis includes sample solutions for the proposed tasks.

Táto práca sa zaoberá vývojom a testovaním konfigurovateľného SPI slave zariadenia, ktorého hlavným účelom je testovanie reálnych SPI master zariadení. Zariadenie je implementované pomocou STM32 mikrokontroléra na vývojovej doske NUCLEO. Medzi základné funkcionality zariadenia patrí meranie frekvencie SPI prenosu, stream mód, ktorý umožní umožní presne sledovať, čo pripojené master zariadenie posiela po SPI zbernici a LUT mód, ktorý umožňuje nakonfigurovať zariadenie tak, aby odpovedalo prednastavenými odpoveďami na aktuálnu príchodziu správu. Rozšírená funkcionalita sa skladá z EEPROM emulátor módu. V tomto móde sa zariadenia správa ako virtuálna náhrada reálneho EEPROM zariadenia. Zariadenie je pripojené k počítaču pomocou sériového portu a je možné toto zariadenie konfigurovať pomocou python programáterského rozhrania. Zariadenie taktiež hlási každú aktivitu na SPI zbernici tomuto python programátorskému rozhraniu.

The subject of master´s thesis the problematics of current loop. Within the thesis, the basic components of current loop and the possibilities of its usage are described. There has also been an analysis made of the crucial functions of analyzer which is currently being in the process of development. A focus is put on mode of source and measure. The related functions are crucial in terms of testing and simulation of current loop. Furthermore, the SPI is described and it is used to establish access to the analyzer’s display. The usage of FMEA method has been chosen for the purpose of circuit’s reliability assessment. Practical part describes development of the analyzer and its parts. FMEA method application for selected fault states is presented in final part.

The master's thesis is about a communication element - a hardware module, its design and implementation. The communication is to be maintained between a Linux embedded device and the sensors elements, using the MiWi protocol. The task is part of the IoT project, developed at FIT BUT. Furthermore, the paper describes design of a driver for the module, its likely solution, as well as the very implementation. Finally, the obtained experience is discussed in a summary, along the next step options on how to proceed further with the driver development.

This thesis deals with designing and implementation of wireless voting system based on the IQRF technology. The thesis describes mentioned IQRF technology and compares its features with others wireless technologies. It also describes the architecture design and communication protocol of the proposed system. The system consists of device conected to computer which collects data from the voting stations. The core of the thesis is the implementation of this components and implementation of control application for the computer. In conclusion, discussed the achievements and possible improvements.

The diploma thesis is focused on the design and implementation of a prototype wireless home weather station. The goal is to measure the air temperature, relative humidity and atmospheric pressure. Measured data are stored in external memory and it is posibility to send to the computer for subsequent processing and evaluation.

The topic of this thesis is the transfer of information in vehicles using bus systems. The theoretical part is devoted to the description of communication as a means of passing information and to the mode of communication between individual technical systems via communication networks. Furthermore, it summarizes the specifics of selected communication systems. The practical part of the thesis includes an experiment for which the building of a CAN FD bus model was required. For communication purposes, the programming of SPI protocol on the Field Programmable Gate Array (FPGA) was crucial to provide access to the CAN FD controller. The result is a bus receiving and transmitting test and a timing test for reading and writing data.

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This dissertation focuses on three research projects: 1) construction of simultaneous prediction intervals/bounds for at least k out of m future observations; 2) semi-parametric degradation model for accelerated destructive degradation test (ADDT) data; and 3) spatial variable selection and application to Lyme disease data in Virginia. Followed by the general introduction in Chapter 1, the rest of the dissertation consists of three main chapters. Chapter 2 presents the construction of two-sided simultaneous prediction intervals (SPIs) or one-sided simultaneous prediction bounds (SPBs) to contain at least k out of m future observations, based on complete or right censored data from (log)-location-scale family of distributions. SPI/SPB calculated by the proposed procedure has exact coverage probability for complete and Type II censored data. In Type I censoring case, it has asymptotically correct coverage probability and reasonably good results for small samples. The proposed procedures can be extended to multiply-censored data or randomly censored data. Chapter 3 focuses on the analysis of ADDT data. We use a general degradation path model with correlated covariance structure to describe ADDT data. Monotone B-splines are used to modeling the underlying degradation process. A likelihood based iterative procedure for parameter estimation is developed. The confidence intervals of parameters are calculated using the nonparametric bootstrap procedure. Both simulated data and real datasets are used to compare the semi-parametric model with the existing parametric models. Chapter 4 studies the Lyme disease emergence in Virginia. The objective is to find important environmental and demographical covariates that are associated with Lyme disease emergence. To address the high-dimentional integral problem in the loglikelihood function, we consider the penalized quasi loglikelihood and the approximated loglikelihood based on Laplace approximation. We impose the adaptive elastic net penalty to obtain sparse estimation of parameters and thus to achieve variable selection of important variables. The proposed methods are investigated in simulation studies. We also apply the proposed methods to Lyme disease data in Virginia. Finally, Chapter 5 contains general conclusions and discussions for future work. / Ph. D.