Framework for Evaluating Programming Languages for Computer Graphics
Akram, Mohammed Zeki (2003) Framework for Evaluating Programming Languages for Computer Graphics. Masters thesis, Universiti Putra Malaysia.
With the continuous increase of the available programming languages over the last few decades, it becomes essential to properly select the language to be used for any field of computation so as to get the best outcome of the language for that specific field. As the fields of Computer Graphics and Computational Geometry are important ones, it becomes essential therefore to make a comparative study of the programming languages which suit those fields best. In this study, a new framework has been developed for comparing different programming languages by studying selected factors which are: Speed, Memory usage, EXE file size and Source code size. The study concentrated on four programming languages in order to test the framework, although the developed framework is capable to support any programming language. This study compares those features and the capabilities of the four widely used programming languages as samples. This comparison is for examining the programming languages in order to find the specific attributes and capabilities of each language, and to identify the best language for each of the selected factors when used for Computer Graphics and Computational Geometry. The framework concludes that Visual C++ is the fastest language in handling Computational Geometry problems; C++ was the most efficient language in memory usage. Visual Basic has the smallest EXE file size and smallest source code size. Small and simple programs consume less computer resources than bigger and more complicated programs. In order to test this logical hypothesis, the framework has been tested upon three types of programs varying in their levels of difficulties and complications, i.e. graphics primitives, curves and splines, and complicated geometric objects. The research proved that there is a difference between the three levels of programs in terms of computer resources consumption, hence proving that the hypothesis is correct. However the details of the comparison performed by the framework developed, when applied to the graphical programs of different level of complication has shown that different programming languages’ reaction in terms of consumption of resources varies from one language to another.
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