Sökning: "of the future"
Visar resultat 1 - 5 av 22654 uppsatser innehållade orden of the future.
1. Investigating Content-based Fake News Detection using Knowledge Graphs
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In recent years, fake news has become a pervasive reality of global news consumption.While research on fake news detection is ongoing, smaller languages such as Swedishare often left exposed by an under-representation in research. LÄS MER
2. An Investigation of Integration Debt in Continuous Integration - A design science study
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Continuous integration is a commonly used method in software development. It isused to improve the development process by prescribing frequent code integrationand testing and thereby creating a mechanism for early feedback. LÄS MER
3. Serverless Development Trends in Open Source: a Mixed-Research Study
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In the age of modern technology, a newparadigm, Serverless, emerges in the world of cloud computingwith which it benefits developers to solely focus on the mainobjective instead of the maintenance of the infrastructure. Thisstudy helps developers and readers alike to have an insight intothe current state of serverless software development. LÄS MER
4. Accelerating geospatial database services with Graphical Processing Units
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : With the growing need of instant oralmost instant processing and retrieval when working on largedata-sets we ask ourselves the following question “What impactwould switching from a conventional CPU database to a GPUaccelerated database have on emergency systems using largegeospatial data-sets”. [Methodology] We chose to use DesignScience and more specifically the method called optimization. LÄS MER
5. APPLYING MACHINE LEARNING ALGORITHMS TO DETECT LINES OF CODE CONTRIBUTING TO TECHNICAL DEBT
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This paper shows the investigation of the viability of finding lines ofcode (LOC) contributing to technical debt (TD) using machine learning (ML), bytrying to imitate the static code analysis tool SonarQube. This is approached byletting industry professionals choose the SonarQube rules, followed by trainingdifferent classifiers with the help of CCFlex (a tool for training classifiers withlines of code), while using SonarQube as an oracle (a source of training sampledata) which selects the faulty lines of code. LÄS MER
