Essays about: "Datalogi"
Showing result 36 - 40 of 306 essays containing the word Datalogi.
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36. Automating regression testing on fat cients
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : Regression testing is important but time consuming. Automating the testing have many benefits. It will save money for companies because they will not have to pay testers to manually test their applications. It will produce better software with less bugs as testing can be done more frequently so bugs will be found faster. READ MORE
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37. Technology Evaluation of future IPTV Services
University essay fromAbstract : The next home entertainment platform to receive an upgrade is the television. As one of the most important devices in the home today the struggle to provide TVs successor continues. On its journey through the modern world the Internet Protocol Television (IPTV) provides new technology, cheaper transmissions and a better TV experience. READ MORE
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38. Sentiment classification of Swedish Twitter data
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : Sentiment analysis is a field within the area of natural language processing that studies the sentiment of human written text. Within sentiment analysis, sentiment classification is a research area that has been of growing interest since the advent of digital social-media platforms, concerned with the classification of the subjective information in text data. READ MORE
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39. Limiting Transitive Closure for Static Regression Test Selection approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In computer science and software development it is important to test software in order to ensure reliability. Regression testing in order to find potential faults introduced by software changes is key to assuring that the software is stable. READ MORE
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40. Placement support for signal intelligence units
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : The goal of this thesis was to develop an optimization model that automatically finds optimal groupings for signal intelligence units, aiming to maximize surveillance capability in a user-defined target area. Consideration was taken to transportation possibilities, type of terrain, and the requirement of radio communication between the direction finders. READ MORE