Essays about: "automatic test generation"
Showing result 16 - 20 of 63 essays containing the words automatic test generation.
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16. Automatic Test Generation of REST APIs
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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17. An Evaluation of Automatic Test Case Generation strategy from Requirements for Electric/Autonomous Vehicles
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : Software testing is becoming more prominent within the automotive industry due to more complex systems, and functions are implemented in the vehicles. The vehicles in the future will have the functionality to manage different levels of automation, which also means that vehicles driven by humans will have more supportive functionality to increase safety and avoid accidents. READ MORE
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18. Automatic Belt Tension Device
University essay from Lunds universitet/InnovationAbstract : In this master’s thesis, the development of a new belt tensioning solution, for use in ASSA ABLOY's sliding doors is treated. As a starting point for the work, ASSA ABLOY’s current belt tension solution has been used as a reference. READ MORE
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19. User Equipment Characterization using Machine Learning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. READ MORE
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20. Machine learning and augmented data for automated treatment planning in complex external beam radiation therapy
University essay from Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskapAbstract : External beam radiation therapy is currently one of the most commonly used modalities for treating cancer. With the rise of new technologies and increasing computational power, machine learning, deep learning and artificial intelligence applications used for classification and regression problems have begun to find their way into the field of radiation oncology. READ MORE