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Analysis of Economic Indicators of the Selected Company Using Statistical Methods
Bahureková, Beáta ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis presents a financial analysis of SIGMA GROUP s.r.o. The basis for the analysis is the accounting documents for the years 2012-2016. The assessment of the company's financial situation is analyzed using the analysis of economic indicators and statistical methods using the Microsoft Office Excel program written in the Visual Basic programming language. The first part of the thesis is theoretical and the statistical methods and procedures of financial analysis that are important for the next part of the thesis are described. The second part of the thesis is analytical and deals with the calculations of the individual indicators, which form the basis for the possible setting of goals and strategy of the company.
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Alias Analysis in C Compiler
Bolvanský, Dávid ; Zachariášová, Marcela (referee) ; Hruška, Tomáš (advisor)
This thesis is dedicated to the problem of alias analysis and possibilities of its improvement in the LLVM framework. The goal of this thesis is to improve the accuracy, which was achieved by extending the existing implementation of Andresen algorithm to be field sensitive. The terms related to alias analysis and algorithms of the alias analysis available in LLVM are explained. These algorithms are compared according to their base idea, features, and limitations. The implementation of the field sensitivity has been tested using compiler test suites. Its impact on program compilation speed and performance has been analyzed. The measured results show an increase in the accuracy of alias analysis in the LLVM framework.
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Alias Analysis in C Compiler
Bolvanský, Dávid ; Zachariášová, Marcela (referee) ; Hruška, Tomáš (advisor)
This thesis is dedicated to the problem of alias analysis and possibilities of its improvement in the LLVM framework. The goal of this thesis is to improve the accuracy, which was achieved by extending the existing implementation of Andresen algorithm to be field sensitive. The terms related to alias analysis and algorithms of the alias analysis available in LLVM are explained. These algorithms are compared according to their base idea, features, and limitations. The implementation of the field sensitivity has been tested using compiler test suites. Its impact on program compilation speed and performance has been analyzed. The measured results show an increase in the accuracy of alias analysis in the LLVM framework.
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Analysis of Economic Indicators of the Selected Company Using Statistical Methods
Bahureková, Beáta ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis presents a financial analysis of SIGMA GROUP s.r.o. The basis for the analysis is the accounting documents for the years 2012-2016. The assessment of the company's financial situation is analyzed using the analysis of economic indicators and statistical methods using the Microsoft Office Excel program written in the Visual Basic programming language. The first part of the thesis is theoretical and the statistical methods and procedures of financial analysis that are important for the next part of the thesis are described. The second part of the thesis is analytical and deals with the calculations of the individual indicators, which form the basis for the possible setting of goals and strategy of the company.
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