Sökning: "pre-release"
Visar resultat 1 - 5 av 7 uppsatser innehållade ordet pre-release.
1. RAUK: Automatic Schedulability Analysis of RTIC Applications Using Symbolic Execution
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : In this thesis, the proof-of-concept tool RAUK for automatically analyzing RTIC applications for schedulability using symbolic execution is presented. The RTIC framework provides a declarative executable model for building embedded applications, which behavior is based on established formal methods and policies. LÄS MER
2. The unexplored power of buzz in the video game industry
Magister-uppsats, Högskolan i Halmstad/Akademin för ekonomi, teknik och naturvetenskapSammanfattning : Background: The global video game industry is today bigger than both the film- and music industry and is subject to a lot of competition. Companies are always looking for alternative ways to reach consumers and buzz is identified as a crucial success factor by many scholars. LÄS MER
3. Game Design Feedback Collection Methods in Pre-Release Game Development
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The development of games is secretive in nature due to its creative constraints, and a project can run over the course of a few years. With the advent of agile methodologies, software projects have involved customers in the development process to iterate on received feedback. LÄS MER
4. Understanding the business model in the video game industry : A case study on an independent video game developer
Master-uppsats, Högskolan i Jönköping/IHH, FöretagsekonomiSammanfattning : Background: Tough competition, time- and resource constraints, and changing consumer demands in the video game industry requires business models that can cope with the pressure. Purpose: The purpose of this thesis is to use business model framework in order to better understand how independent video game developers develop their business models. LÄS MER
5. Predicting movie ratings : A comparative study on random forests and support vector machines
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : The aim of this work is to evaluate the prediction performance of random forests in comparison to support vector machines, for predicting the numerical user ratings of a movie using pre-release attributes such as its cast, directors, budget and movie genres. In order to answer this question an experiment was conducted on predicting the overall user rating of 3376 hollywood movies, using data from the well established movie database IMDb. LÄS MER