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Showing result 1 - 5 of 547 essays matching the above criteria.
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1. Supplementing Dependabot’svulnerability scanning : A Custom Pipeline for Tracing DependencyUsage in JavaScript Projects
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Software systems are becoming increasingly complex, with developers frequentlyutilizing numerous dependencies. In this landscape, accurate tracking and understanding of dependencies within JavaScript and TypeScript codebases are vital formaintaining software security and quality. READ MORE
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2. Time Series Forecasting on Database Storage
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE
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3. Case Study: Assessing the Security of a ZigBee Smart HomeNetwork
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Utilizing the ZigBee protocol is pervasive in the context of smart homes, offering substantial convenience to individuals. However, smart home devices commonly handle significant quantities of real-world information, potentially giving rise to concerns related to information leakage. READ MORE
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4. Code Review Application : Simplifying code review through data flow visualization
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : From a security standpoint, manual code review is widely regarded as a dependable practice, particularly in systems with heightened security needs. However, it is also a time-consuming and laborious task that requires careful consideration. READ MORE
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5. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE