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1	Automatizovaná práce s webovými formuláři / Automatic Web Form Processing Zdráhal, Petr Unknown Date (has links) This thesis deals with the web form automatization. It contains a short introduction to the HTML and XHTML markup languages and their facilities for the definition of forms. Next, there is a short overview of the HTTP protocol and XML markup language and a method of the form description using XML is proposed. The thesis contains a description of tool for creating XML file from HTML document and a description of a data sender tool using a CSV data file and an XML form description. Next, there is a description of the algorithms used in the implementation. The conclusion includes the achieved results and the improvements for the future.
2	Performance Analysis of JavaScript Smedberg, Fredrik January 2010 (has links) <p>In the last decade, web browsers have seen a remarkable increase of performance, especially in the JavaScript engines. JavaScript has over the years gone from being a slow and rather limited language, to today have become feature-rich and fast. It’s speed can be around the same or half of comparable code written in C++, but this speed is directly dependent on the choice of the web browser, and the best performance is seen in browsers using JIT compilation techniques.</p><p>Even though the language has seen a dramatic increase in performance, there’s still major problems regarding memory usage. JavaScript applications typically consume 3-4 times more memory than similar applications written in C++. Many browser vendors, like Opera Software, acknowledge this and are currently trying to optimize their memory usage. This issue is hopefully non-existent within a near future.</p><p>Because the majority of scientific papers written about JavaScript only compare performance using the industry benchmarks SunSpider and V8, this thesis have chosen to widen the scope. The benchmarks really give no information about how JavaScript stands in comparison to C#, C++ and other popular languages. To be able to compare that, I’ve implemented a GIF decoder, an XML parser and various elementary tests in both JavaScript and C++ to compare how far apart the languages are in terms of speed, memory usage and responsiveness.</p> javascript performance performance analysis benchmark opera chrome internet explorer firefox safari web 2.0 gif decoder c++ xml parser memory usage image decoding responsiveness development tools Computer science Datavetenskap Computer engineering Datorteknik
3	Performance Analysis of JavaScript Smedberg, Fredrik January 2010 (has links) In the last decade, web browsers have seen a remarkable increase of performance, especially in the JavaScript engines. JavaScript has over the years gone from being a slow and rather limited language, to today have become feature-rich and fast. It’s speed can be around the same or half of comparable code written in C++, but this speed is directly dependent on the choice of the web browser, and the best performance is seen in browsers using JIT compilation techniques. Even though the language has seen a dramatic increase in performance, there’s still major problems regarding memory usage. JavaScript applications typically consume 3-4 times more memory than similar applications written in C++. Many browser vendors, like Opera Software, acknowledge this and are currently trying to optimize their memory usage. This issue is hopefully non-existent within a near future. Because the majority of scientific papers written about JavaScript only compare performance using the industry benchmarks SunSpider and V8, this thesis have chosen to widen the scope. The benchmarks really give no information about how JavaScript stands in comparison to C#, C++ and other popular languages. To be able to compare that, I’ve implemented a GIF decoder, an XML parser and various elementary tests in both JavaScript and C++ to compare how far apart the languages are in terms of speed, memory usage and responsiveness. javascript performance performance analysis benchmark opera chrome internet explorer firefox safari web 2.0 gif decoder c++ xml parser memory usage image decoding responsiveness development tools Computer Sciences Datavetenskap (datalogi) Computer Engineering Datorteknik

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