Sökning: "test data generation"
Visar resultat 1 - 5 av 305 uppsatser innehållade orden test data generation.
1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement
Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER
2. An In-Depth study on the Utilization of Large Language Models for Test Case Generation
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. LÄS MER
3. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. LÄS MER
4. AI-based image generation: The impact of fine-tuning on fake image detection
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. LÄS MER
5. On Systematically Exploring the State Space for Events with SFCs
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In the process of developing autonomous driving systems (AD systems), ensuring safety remains a constant and continuous priority. Scenario-based testing is a popular approach to guarantee the safety of AD systems, which however meets challenges in terms of diversity and efficiency of generation, as well as evaluating existing test case datasets in terms of their coverage of the different variations of a particular maneuver. LÄS MER