Sökning: "Utvecklingstid"
Visar resultat 1 - 5 av 55 uppsatser innehållade ordet Utvecklingstid.
1. Technical Debt in Swedish Tech Startups: Uncovering its Emergence, and Management Processes
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Technical Debt (TD) is a concept referring to technical deficiencies and sub-optimal decisions made in software development that may save time in the short term but lead to long-term obstacles. The concept also implies increased future costs, often growing with interest, caused by slower development rates and the need for refactorings. LÄS MER
2. Comparing User Interface Design Implementation between Cross-Platform and Native Mobile Applications : FlutterFlow versus Jetpack Compose
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Smartphones have become indispensable in modern life, largely due to the vast array of apps that aim to simplify and enrich our daily experiences. Given the vast number of apps available, it's crucial to have a unique and user-friendly UI to stand out from the crowd. LÄS MER
3. Performance analysis of SwiftUI and UIKit : A comparison of CPU time and memory usage for common user interface elements
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In today's digital era, smartphones have evolved into an important part of our daily routine, thereby raising the bar for high-quality applications that deliver premium user experiences. In this landscape, UIKit and SwiftUI have emerged as two noteworthy user interface frameworks in the realm of iOS development, with UIKit having a longstanding foothold and SwiftUI displaying newer declarative coding style. LÄS MER
4. An analysis and comparison of the Native mobile application versus the Progressive web application
Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : Det här arbetet utforskar jämförelsen mellan progressiva webbapplikationer (PWA) och native mobila applikationer. Arbetet belyser ett problem som är aktuellt idag och kommer att vara ännu mer så i närmaste framtid på grund av den ständiga teknikutvecklingen och människans beroende av mobila applikationer. LÄS MER
5. Temperature predictions using a digital twin and machine learning : Digital Twin model of an electric boat’s cooling system that provides artificial data for training of a machine learning model
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The transportation industry stands for a big chunk of the worlds total carbon emissions. To counter this problem electric vehicles are seen as a good solution. However, these vehicles come at a greater cost and do not offer the same range as their less environmentally friendly counterpart. LÄS MER