Sökning: "Bugs"
Visar resultat 16 - 20 av 264 uppsatser innehållade ordet Bugs.
16. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. LÄS MER
17. A New FrontierThe emergence of the Outdoor Workspace
Master-uppsats, KTH/ErgonomiSammanfattning : A new norm and culture has been created which has lowered the threshold for individuals to work from different and alternate locations, such as the outdoor workspace. The purpose of outdoor workspaces has been suggested to be designed to allow and provide individuals to work in a different scenery with the intention of providing mental and physical health effects that will improve wellbeing and productivity. LÄS MER
18. Empirical Comparison Between Conventional and AI-based Automated Unit Test Generation Tools in Java
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Unit testing plays a crucial role in ensuring the quality and reliability of software systems. However, manual testing can often be a slow and time-consuming process. With current advancements in artificial intelligence (AI), new tools have emerged for automated unit testing to address this issue. LÄS MER
19. Pentesting on a WiFi Adapter : Afirmware and driver security analysis of a WiFi Adapter, with a subset of WiFi pentesting
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Simple IoT devices such as WiFi adapters have the possibility of containing vulnerabilities because of the vast complexity of parsing and implementing the IEEE 802.11 standard correctly. LÄS MER
20. An Empirical Study on Using Codex for Automated Program Repair
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis explores the potential of Codex, a pre-trained Large Language Model (LLM), for Automated Program Repair (APR) by assessing its performance on the Defects4J benchmark that includes real-world Java bugs. The study aims to provide a comprehensive understanding of Codex’s capabilities and limitations in generating syntactically and semantically equivalent patches for defects, as well as evaluating its ability to handle defects with different levels of importance and complexity. LÄS MER