Essays about: "tool evaluation"
Showing result 21 - 25 of 1461 essays containing the words tool evaluation.
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21. Front-end of a Debugger for Compiled Programs in Haskell
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : There are debugging tools available for Haskell programs today, but despite providing help for developers, these tools are not widely used in the Haskell community. Current debugging tools for Haskell have different kinds of limitations. This thesis will discuss the implementation of a new debugger with a graphical interface. READ MORE
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22. OpenCourse: Gamification in Computer Science Education
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Academic degrees in computer science suffer from the highest dropout rates among universities. As a result, there is a lack of technical professionals, which could threaten the digital infrastructure. READ MORE
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23. Activity Location Assignment Comparison Using Geospatial Landuse and Building Data in MATSim : A Multi-modal Transport Case Study of Stockholm
University essay from KTH/TransportplaneringAbstract : Transport simulation models play a crucial role in transportation planning, design, and operations, allowing for the replication of various scenarios through the incorporation of real-world data and parameters. Recently, agent-based transport models have gained prominence for their ability to simulate intricate metropolitan transport systems. READ MORE
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24. Context-aware security testing of Android applications : Detecting exploitable vulnerabilities through Android model-based security testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master’s thesis explores ways to uncover and exploit vulnerabilities in Android applications by introducing a novel approach to security testing. The research question focuses on discovering an effective method for detecting vulnerabilities related to the context of an application. READ MORE
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25. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE